Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3363-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3363-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
13 Jul 2021
Data description paper |
| 13 Jul 2021
| 13 Jul 2021
A mean-sea-level pressure time series for Trieste, Italy (1841–2018)
Fabio Raicich
CORRESPONDING AUTHOR
CNR, Institute of Marine Sciences, Trieste, 34149, Italy
Renato R. Colucci
CNR, Institute of Marine Sciences, Trieste, 34149, Italy
present address: CNR, Institute of Polar Sciences, Venice-Mestre, 30172,
Italy
Related authors
Fabio Raicich
Earth Syst. Sci. Data, 15, 1749–1763, https://doi.org/10.5194/essd-15-1749-2023, https://doi.org/10.5194/essd-15-1749-2023, 2023
Short summary
Short summary
In the changing climate, long sea level time series are essential for studying the variability of the mean sea level and the occurrence of extreme events on different timescales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterized by a linear trend of about 1.4 mm yr−1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr−1, similarly to the global ocean.
Begoña Pérez Gómez, Ivica Vilibić, Jadranka Šepić, Iva Međugorac, Matjaž Ličer, Laurent Testut, Claire Fraboul, Marta Marcos, Hassen Abdellaoui, Enrique Álvarez Fanjul, Darko Barbalić, Benjamín Casas, Antonio Castaño-Tierno, Srđan Čupić, Aldo Drago, María Angeles Fraile, Daniele A. Galliano, Adam Gauci, Branislav Gloginja, Víctor Martín Guijarro, Maja Jeromel, Marcos Larrad Revuelto, Ayah Lazar, Ibrahim Haktan Keskin, Igor Medvedev, Abdelkader Menassri, Mohamed Aïssa Meslem, Hrvoje Mihanović, Sara Morucci, Dragos Niculescu, José Manuel Quijano de Benito, Josep Pascual, Atanas Palazov, Marco Picone, Fabio Raicich, Mohamed Said, Jordi Salat, Erdinc Sezen, Mehmet Simav, Georgios Sylaios, Elena Tel, Joaquín Tintoré, Klodian Zaimi, and George Zodiatis
Ocean Sci., 18, 997–1053, https://doi.org/10.5194/os-18-997-2022, https://doi.org/10.5194/os-18-997-2022, 2022
Short summary
Short summary
This description and mapping of coastal sea level monitoring networks in the Mediterranean and Black seas reveals the existence of 240 presently operational tide gauges. Information is provided about the type of sensor, time sampling, data availability, and ancillary measurements. An assessment of the fit-for-purpose status of the network is also included, along with recommendations to mitigate existing bottlenecks and improve the network, in a context of sea level rise and increasing extremes.
Davide Zanchettin, Sara Bruni, Fabio Raicich, Piero Lionello, Fanny Adloff, Alexey Androsov, Fabrizio Antonioli, Vincenzo Artale, Eugenio Carminati, Christian Ferrarin, Vera Fofonova, Robert J. Nicholls, Sara Rubinetti, Angelo Rubino, Gianmaria Sannino, Giorgio Spada, Rémi Thiéblemont, Michael Tsimplis, Georg Umgiesser, Stefano Vignudelli, Guy Wöppelmann, and Susanna Zerbini
Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, https://doi.org/10.5194/nhess-21-2643-2021, 2021
Short summary
Short summary
Relative sea level in Venice rose by about 2.5 mm/year in the past 150 years due to the combined effect of subsidence and mean sea-level rise. We estimate the likely range of mean sea-level rise in Venice by 2100 due to climate changes to be between about 10 and 110 cm, with an improbable yet possible high-end scenario of about 170 cm. Projections of subsidence are not available, but historical evidence demonstrates that they can increase the hazard posed by climatically induced sea-level rise.
Piero Lionello, David Barriopedro, Christian Ferrarin, Robert J. Nicholls, Mirko Orlić, Fabio Raicich, Marco Reale, Georg Umgiesser, Michalis Vousdoukas, and Davide Zanchettin
Nat. Hazards Earth Syst. Sci., 21, 2705–2731, https://doi.org/10.5194/nhess-21-2705-2021, https://doi.org/10.5194/nhess-21-2705-2021, 2021
Short summary
Short summary
In this review we describe the factors leading to the extreme water heights producing the floods of Venice. We discuss the different contributions, their relative importance, and the resulting compound events. We highlight the role of relative sea level rise and the observed past and very likely future increase in extreme water heights, showing that they might be up to 160 % higher at the end of the 21st century than presently.
Fabio Raicich
Hist. Geo Space. Sci., 11, 1–14, https://doi.org/10.5194/hgss-11-1-2020, https://doi.org/10.5194/hgss-11-1-2020, 2020
Short summary
Short summary
The ongoing sea level rise is a big concern in the context of present climatic change. The study of past sea level observations is of great importance in describing sea level variations. This work describes the rescue and analysis of a previously unrecognised 12-year record of sea level heights, measured at Trieste in the late 18th century. Besides having historical value, the data were found to be consistent, although undocumented technical issues limited the scientific conclusions.
Fabio Raicich and Renato R. Colucci
Earth Syst. Sci. Data, 11, 761–768, https://doi.org/10.5194/essd-11-761-2019, https://doi.org/10.5194/essd-11-761-2019, 2019
Short summary
Short summary
Thanks to near-surface sea temperatures measured at Trieste, northern Adriatic Sea, from 1899 to 2015, we estimated mean daily temperatures at 2 m depth and built a quasi-homogeneous 117-year-long time series. We describe the instruments used and the sites of measurements, which are all within Trieste harbour. The data set represents a valuable tool to study sea temperature variability on different timescales. A mean temperature rise rate of 1.1 ± 0.3 °C per century was estimated.
F. Raicich
Nat. Hazards Earth Syst. Sci., 15, 527–535, https://doi.org/10.5194/nhess-15-527-2015, https://doi.org/10.5194/nhess-15-527-2015, 2015
Short summary
Short summary
Daily sea level data of the Venice Lagoon observed in the 18th century allow us to obtain a composite the time series of sea level anomalies relative to the mean sea level, spanning 1751--1769 and 1872--2004. From these data the frequency of remarkable storm surges is estimated. They appear to be more frequent in the second half of the 18th century than in the late 19th and 20th centuries. The historical flood on 4 November 1966 turns out to be the most severe during the entire period.
H. Mihanović, I. Vilibić, S. Carniel, M. Tudor, A. Russo, A. Bergamasco, N. Bubić, Z. Ljubešić, D. Viličić, A. Boldrin, V. Malačič, M. Celio, C. Comici, and F. Raicich
Ocean Sci., 9, 561–572, https://doi.org/10.5194/os-9-561-2013, https://doi.org/10.5194/os-9-561-2013, 2013
Andrea Securo, Costanza Del Gobbo, Giovanni Baccolo, Carlo Barbante, Michele Citterio, Fabrizio De Blasi, Marco Marcer, Mauro Valt, and Renato R. Colucci
EGUsphere, https://doi.org/10.5194/egusphere-2024-1357, https://doi.org/10.5194/egusphere-2024-1357, 2024
Short summary
Short summary
We have reconstructed the multi-decadal (1980s–2023) cumulative mass balance for all the current mountain glaciers in the Italian Dolomites. We used historical aerial imagery, drone surveys and airborne LiDAR to fill the existing gap of glaciological data for the region. We observed an alarming decline in both glaciers area and volume, with some of them showing lower losses due to local topography and debris cover feedback. We strongly encourage more specific monitoring for these small glaciers.
Davide Bonaldo, Sandro Carniel, Renato R. Colucci, Cléa Denamiel, Petra Pranic, Fabio Raicich, Antonio Ricchi, Lorenzo Sangelantoni, Ivica Vilibic, and Maria Letizia Vitelletti
EGUsphere, https://doi.org/10.5194/egusphere-2024-1468, https://doi.org/10.5194/egusphere-2024-1468, 2024
Short summary
Short summary
We present a high-resolution modelling effort to investigate the possible end-of-century evolution of the main physical processes in the Adriatic Sea in a severe climate change scenario, with an ensemble approach (viz., use a of multiple simulations) allowing to control the uncertainty of the predictions. Our model exhibits a satisfactory capability to reproduce the recent past and provides a ground for a set of multidisciplinary studies in this area over a multi-decadal horizon.
Costanza Del Gobbo, Renato R. Colucci, Giovanni Monegato, Manja Žebre, and Filippo Giorgi
Clim. Past, 19, 1805–1823, https://doi.org/10.5194/cp-19-1805-2023, https://doi.org/10.5194/cp-19-1805-2023, 2023
Short summary
Short summary
We studied atmosphere–cryosphere interaction during the last phase of the Last Glacial Maximum in the Alpine region, using a high-resolution regional climate model. We analysed the climate south and north of the Alps, using a detailed map of the Alpine equilibrium line altitude (ELA) to study the mechanism that sustained the Alpine glaciers at 21 ka. The Genoa low and a mild Mediterranean Sea led to frequent snowfall in the southern Alps, thus preserving the glaciers and lowering the ELA.
Fabio Raicich
Earth Syst. Sci. Data, 15, 1749–1763, https://doi.org/10.5194/essd-15-1749-2023, https://doi.org/10.5194/essd-15-1749-2023, 2023
Short summary
Short summary
In the changing climate, long sea level time series are essential for studying the variability of the mean sea level and the occurrence of extreme events on different timescales. This work summarizes the rescue and quality control of the ultra-centennial sea level data set of Trieste, Italy. The whole time series is characterized by a linear trend of about 1.4 mm yr−1, the period corresponding to the altimetry coverage by a trend of about 3.0 mm yr−1, similarly to the global ocean.
Begoña Pérez Gómez, Ivica Vilibić, Jadranka Šepić, Iva Međugorac, Matjaž Ličer, Laurent Testut, Claire Fraboul, Marta Marcos, Hassen Abdellaoui, Enrique Álvarez Fanjul, Darko Barbalić, Benjamín Casas, Antonio Castaño-Tierno, Srđan Čupić, Aldo Drago, María Angeles Fraile, Daniele A. Galliano, Adam Gauci, Branislav Gloginja, Víctor Martín Guijarro, Maja Jeromel, Marcos Larrad Revuelto, Ayah Lazar, Ibrahim Haktan Keskin, Igor Medvedev, Abdelkader Menassri, Mohamed Aïssa Meslem, Hrvoje Mihanović, Sara Morucci, Dragos Niculescu, José Manuel Quijano de Benito, Josep Pascual, Atanas Palazov, Marco Picone, Fabio Raicich, Mohamed Said, Jordi Salat, Erdinc Sezen, Mehmet Simav, Georgios Sylaios, Elena Tel, Joaquín Tintoré, Klodian Zaimi, and George Zodiatis
Ocean Sci., 18, 997–1053, https://doi.org/10.5194/os-18-997-2022, https://doi.org/10.5194/os-18-997-2022, 2022
Short summary
Short summary
This description and mapping of coastal sea level monitoring networks in the Mediterranean and Black seas reveals the existence of 240 presently operational tide gauges. Information is provided about the type of sensor, time sampling, data availability, and ancillary measurements. An assessment of the fit-for-purpose status of the network is also included, along with recommendations to mitigate existing bottlenecks and improve the network, in a context of sea level rise and increasing extremes.
Davide Zanchettin, Sara Bruni, Fabio Raicich, Piero Lionello, Fanny Adloff, Alexey Androsov, Fabrizio Antonioli, Vincenzo Artale, Eugenio Carminati, Christian Ferrarin, Vera Fofonova, Robert J. Nicholls, Sara Rubinetti, Angelo Rubino, Gianmaria Sannino, Giorgio Spada, Rémi Thiéblemont, Michael Tsimplis, Georg Umgiesser, Stefano Vignudelli, Guy Wöppelmann, and Susanna Zerbini
Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, https://doi.org/10.5194/nhess-21-2643-2021, 2021
Short summary
Short summary
Relative sea level in Venice rose by about 2.5 mm/year in the past 150 years due to the combined effect of subsidence and mean sea-level rise. We estimate the likely range of mean sea-level rise in Venice by 2100 due to climate changes to be between about 10 and 110 cm, with an improbable yet possible high-end scenario of about 170 cm. Projections of subsidence are not available, but historical evidence demonstrates that they can increase the hazard posed by climatically induced sea-level rise.
Piero Lionello, David Barriopedro, Christian Ferrarin, Robert J. Nicholls, Mirko Orlić, Fabio Raicich, Marco Reale, Georg Umgiesser, Michalis Vousdoukas, and Davide Zanchettin
Nat. Hazards Earth Syst. Sci., 21, 2705–2731, https://doi.org/10.5194/nhess-21-2705-2021, https://doi.org/10.5194/nhess-21-2705-2021, 2021
Short summary
Short summary
In this review we describe the factors leading to the extreme water heights producing the floods of Venice. We discuss the different contributions, their relative importance, and the resulting compound events. We highlight the role of relative sea level rise and the observed past and very likely future increase in extreme water heights, showing that they might be up to 160 % higher at the end of the 21st century than presently.
Fabio Raicich
Hist. Geo Space. Sci., 11, 1–14, https://doi.org/10.5194/hgss-11-1-2020, https://doi.org/10.5194/hgss-11-1-2020, 2020
Short summary
Short summary
The ongoing sea level rise is a big concern in the context of present climatic change. The study of past sea level observations is of great importance in describing sea level variations. This work describes the rescue and analysis of a previously unrecognised 12-year record of sea level heights, measured at Trieste in the late 18th century. Besides having historical value, the data were found to be consistent, although undocumented technical issues limited the scientific conclusions.
Fabio Raicich and Renato R. Colucci
Earth Syst. Sci. Data, 11, 761–768, https://doi.org/10.5194/essd-11-761-2019, https://doi.org/10.5194/essd-11-761-2019, 2019
Short summary
Short summary
Thanks to near-surface sea temperatures measured at Trieste, northern Adriatic Sea, from 1899 to 2015, we estimated mean daily temperatures at 2 m depth and built a quasi-homogeneous 117-year-long time series. We describe the instruments used and the sites of measurements, which are all within Trieste harbour. The data set represents a valuable tool to study sea temperature variability on different timescales. A mean temperature rise rate of 1.1 ± 0.3 °C per century was estimated.
F. Raicich
Nat. Hazards Earth Syst. Sci., 15, 527–535, https://doi.org/10.5194/nhess-15-527-2015, https://doi.org/10.5194/nhess-15-527-2015, 2015
Short summary
Short summary
Daily sea level data of the Venice Lagoon observed in the 18th century allow us to obtain a composite the time series of sea level anomalies relative to the mean sea level, spanning 1751--1769 and 1872--2004. From these data the frequency of remarkable storm surges is estimated. They appear to be more frequent in the second half of the 18th century than in the late 19th and 20th centuries. The historical flood on 4 November 1966 turns out to be the most severe during the entire period.
H. Mihanović, I. Vilibić, S. Carniel, M. Tudor, A. Russo, A. Bergamasco, N. Bubić, Z. Ljubešić, D. Viličić, A. Boldrin, V. Malačič, M. Celio, C. Comici, and F. Raicich
Ocean Sci., 9, 561–572, https://doi.org/10.5194/os-9-561-2013, https://doi.org/10.5194/os-9-561-2013, 2013
Related subject area
Meteorology
A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)
Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data
Global tropical cyclone size and intensity reconstruction dataset for 1959–2022 based on IBTrACS and ERA5 data
Special Observing Period (SOP) data for the Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP)
Dataset of spatially extensive long-term quality-assured land–atmosphere interactions over the Tibetan Plateau
Multifrequency radar observations of marine clouds during the EPCAPE campaign
The PAZ Polarimetric Radio Occultation Research Dataset for Scientific Applications
Data collected using small uncrewed aircraft systems during the TRacking Aerosol Convection interactions ExpeRiment (TRACER)
GloUTCI-M: a global monthly 1 km Universal Thermal Climate Index dataset from 2000 to 2022
LGHAP v2: a global gap-free aerosol optical depth and PM2.5 concentration dataset since 2000 derived via big Earth data analytics
Water vapor Raman-lidar observations from multiple sites in the framework of WaLiNeAs
Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg
Earth Virtualization Engines (EVE)
The 2023 National Offshore Wind data set (NOW-23)
SARAH-3 – satellite-based climate data records of surface solar radiation
Dataset of stable isotopes of precipitation in the Eurasian continent
A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations
Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations
A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica
Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau
High-resolution (1 km) all-sky net radiation over Europe enabled by the merging of land surface temperature retrievals from geostationary and polar-orbiting satellites
Atmospheric and surface observations during the Saint John River Experiment on Cold Season Storms (SAJESS)
Year-long buoy-based observations of the air–sea transition zone off the US west coast
The historical Greenland Climate Network (GC-Net) curated and augmented level-1 dataset
Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations
Global high-resolution drought indices for 1981–2022
CHESS-SCAPE: high-resolution future projections of multiple climate scenarios for the United Kingdom derived from downscaled United Kingdom Climate Projections 2018 regional climate model output
Quality-controlled meteorological datasets from SIGMA automatic weather stations in northwest Greenland, 2012–2020
A dataset of energy, water vapor, and carbon exchange observations in oasis–desert areas from 2012 to 2021 in a typical endorheic basin
Derivation and compilation of lower-atmospheric properties relating to temperature, wind, stability, moisture, and surface radiation budget over the central Arctic sea ice during MOSAiC
CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023
ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins
An integrated and homogenized global surface solar radiation dataset and its reconstruction based on a convolutional neural network approach
IWIN: the Isfjorden Weather Information Network
A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations
A 16-year global climate data record of total column water vapour generated from OMI observations in the visible blue spectral range
The EUPPBench postprocessing benchmark dataset v1.0
MOPREDAScentury: a long-term monthly precipitation grid for the Spanish mainland
CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies
Database of the Italian disdrometer network
East Asia Reanalysis System (EARS)
Data rescue of historical wind observations in Sweden since the 1920s
LegacyClimate 1.0: a dataset of pollen-based climate reconstructions from 2594 Northern Hemisphere sites covering the last 30 kyr and beyond
EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset
Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica
Combined wind lidar and cloud radar for high-resolution wind profiling
An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020
TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1∕30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations
The AntAWS dataset: a compilation of Antarctic automatic weather station observations
HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020
Thomas Fiolleau and Rémy Roca
Earth Syst. Sci. Data, 16, 4021–4050, https://doi.org/10.5194/essd-16-4021-2024, https://doi.org/10.5194/essd-16-4021-2024, 2024
Short summary
Short summary
This paper presents a database of tropical deep convective systems over the 2012–2020 period, built from a cloud-tracking algorithm called TOOCAN, which has been applied to homogenized infrared observations from a fleet of geostationary satellites. This database aims to analyze the tropical deep convective systems, the evolution of their associated characteristics over their life cycle, their organization, and their importance in the hydrological and energy cycle.
Bing Li, Shunlin Liang, Han Ma, Guanpeng Dong, Xiaobang Liu, Tao He, and Yufang Zhang
Earth Syst. Sci. Data, 16, 3795–3819, https://doi.org/10.5194/essd-16-3795-2024, https://doi.org/10.5194/essd-16-3795-2024, 2024
Short summary
Short summary
This study describes 1 km all-weather instantaneous and daily mean land surface temperature (LST) datasets on the global scale during 2000–2020. It is the first attempt to synergistically estimate all-weather instantaneous and daily mean LST data on a long global-scale time series. The generated datasets were evaluated by the observations from in situ stations and other LST datasets, and the evaluation indicated that the dataset is sufficiently reliable.
Zhiqi Xu, Jianping Guo, Guwei Zhang, Yuchen Ye, Haikun Zhao, and Haishan Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-329, https://doi.org/10.5194/essd-2024-329, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
Tropical cyclones (TCs) are powerful weather systems that can cause extreme disasters. Here we generate a global long-term TC size and intensity reconstruction dataset, covering a time period from 1959 to 2022, with a 3-hour temporal resolution, using machine learning model. These can be valuable for filling observational data gaps, advancing our understanding of TC climatology, thereby facilitating risk assessments and defenses against TC-related disasters.
Zen Mariani, Sara M. Morris, Taneil Uttal, Elena Akish, Robert Crawford, Laura Huang, Jonathan Day, Johanna Tjernström, Øystein Godøy, Lara Ferrighi, Leslie M. Hartten, Jareth Holt, Christopher J. Cox, Ewan O'Connor, Roberta Pirazzini, Marion Maturilli, Giri Prakash, James Mather, Kimberly Strong, Pierre Fogal, Vasily Kustov, Gunilla Svensson, Michael Gallagher, and Brian Vasel
Earth Syst. Sci. Data, 16, 3083–3124, https://doi.org/10.5194/essd-16-3083-2024, https://doi.org/10.5194/essd-16-3083-2024, 2024
Short summary
Short summary
During the Year of Polar Prediction (YOPP), we increased measurements in the polar regions and have made dedicated efforts to centralize and standardize all of the different types of datasets that have been collected to facilitate user uptake and model–observation comparisons. This paper is an overview of those efforts and a description of the novel standardized Merged Observation Data Files (MODFs), including a description of the sites, data format, and instruments.
Yaoming Ma, Zhipeng Xie, Yingying Chen, Shaomin Liu, Tao Che, Ziwei Xu, Lunyu Shang, Xiaobo He, Xianhong Meng, Weiqiang Ma, Baiqing Xu, Huabiao Zhao, Junbo Wang, Guangjian Wu, and Xin Li
Earth Syst. Sci. Data, 16, 3017–3043, https://doi.org/10.5194/essd-16-3017-2024, https://doi.org/10.5194/essd-16-3017-2024, 2024
Short summary
Short summary
Current models and satellites struggle to accurately represent the land–atmosphere (L–A) interactions over the Tibetan Plateau. We present the most extensive compilation of in situ observations to date, comprising 17 years of data on L–A interactions across 12 sites. This quality-assured benchmark dataset provides independent validation to improve models and remote sensing for the region, and it enables new investigations of fine-scale L–A processes and their mechanistic drivers.
Juan M. Socuellamos, Raquel Rodriguez Monje, Matthew D. Lebsock, Ken B. Cooper, Robert M. Beauchamp, and Arturo Umeyama
Earth Syst. Sci. Data, 16, 2701–2715, https://doi.org/10.5194/essd-16-2701-2024, https://doi.org/10.5194/essd-16-2701-2024, 2024
Short summary
Short summary
This paper describes multifrequency radar observations of clouds and precipitation during the EPCAPE campaign. The data sets were obtained from CloudCube, a Ka-, W-, and G-band atmospheric profiling radar, to demonstrate synergies between multifrequency retrievals. This data collection provides a unique opportunity to study hydrometeors with diameters in the millimeter and submillimeter size range that can be used to better understand the drop size distribution within clouds and precipitation.
Ramon Padullés, Estel Cardellach, Antía Paz, Santi Oliveras, Douglas C. Hunt, Sergey Sokolovskiy, Jan P. Weiss, Kuo-Nung Wang, F. Joe Turk, Chi O. Ao, and Manuel de la Torre Juárez
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-150, https://doi.org/10.5194/essd-2024-150, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
This dataset provides, for the first time, combined observations of clouds and precipitation with coincident retrievals of atmospheric thermodynamics obtained from the same space based instrument. Furthermore, it provides the locations of the ray-trajectories of the observations, along various precipitation-related products interpolated into them, with the aim to foster the use of such dataset in scientific and operational applications.
Francesca Lappin, Gijs de Boer, Petra Klein, Jonathan Hamilton, Michelle Spencer, Radiance Calmer, Antonio R. Segales, Michael Rhodes, Tyler M. Bell, Justin Buchli, Kelsey Britt, Elizabeth Asher, Isaac Medina, Brian Butterworth, Leia Otterstatter, Madison Ritsch, Bryony Puxley, Angelina Miller, Arianna Jordan, Ceu Gomez-Faulk, Elizabeth Smith, Steven Borenstein, Troy Thornberry, Brian Argrow, and Elizabeth Pillar-Little
Earth Syst. Sci. Data, 16, 2525–2541, https://doi.org/10.5194/essd-16-2525-2024, https://doi.org/10.5194/essd-16-2525-2024, 2024
Short summary
Short summary
This article provides an overview of the lower-atmospheric dataset collected by two uncrewed aerial systems near the Gulf of Mexico coastline south of Houston, TX, USA, as part of the TRacking Aerosol Convection interactions ExpeRiment (TRACER) campaign. The data were collected through boundary layer transitions, through sea breeze circulations, and in the pre- and near-storm environment to understand how these processes influence the coastal environment.
Zhiwei Yang, Jian Peng, Yanxu Liu, Song Jiang, Xueyan Cheng, Xuebang Liu, Jianquan Dong, Tiantian Hua, and Xiaoyu Yu
Earth Syst. Sci. Data, 16, 2407–2424, https://doi.org/10.5194/essd-16-2407-2024, https://doi.org/10.5194/essd-16-2407-2024, 2024
Short summary
Short summary
We produced a monthly Universal Thermal Climate Index dataset (GloUTCI-M) boasting global coverage and an extensive time series spanning March 2000 to October 2022 with a high spatial resolution of 1 km. This dataset is the product of a comprehensive approach leveraging multiple data sources and advanced machine learning models. GloUTCI-M can enhance our capacity to evaluate thermal stress experienced by the human, offering substantial prospects across a wide array of applications.
Kaixu Bai, Ke Li, Liuqing Shao, Xinran Li, Chaoshun Liu, Zhengqiang Li, Mingliang Ma, Di Han, Yibing Sun, Zhe Zheng, Ruijie Li, Ni-Bin Chang, and Jianping Guo
Earth Syst. Sci. Data, 16, 2425–2448, https://doi.org/10.5194/essd-16-2425-2024, https://doi.org/10.5194/essd-16-2425-2024, 2024
Short summary
Short summary
A global gap-free high-resolution air pollutant dataset (LGHAP v2) was generated to provide spatially contiguous AOD and PM2.5 concentration maps with daily 1 km resolution from 2000 to 2021. This gap-free dataset has good data accuracies compared to ground-based AOD and PM2.5 concentration observations, which is a reliable database to advance aerosol-related studies and trigger multidisciplinary applications for environmental management, health risk assessment, and climate change analysis.
Frédéric Laly, Patrick Chazette, Julien Totems, Jérémy Lagarrigue, Laurent Forges, and Cyrille Flamant
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-73, https://doi.org/10.5194/essd-2024-73, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We present a dataset of water vapor mixing ratio profiles acquired during the WaLiNeAs campaign in fall and winter 2022 and summer 2023, using 3 lidar systems deployed on the Western Mediterranean coastline. This innovative campaign gives access to low tropospheric water vapor variability to constrain meteorological forecasting models. The scientific objective is to improve forecasting of heavy precipation events that lead to severe flash floods.
Finn Burgemeister, Marco Clemens, and Felix Ament
Earth Syst. Sci. Data, 16, 2317–2332, https://doi.org/10.5194/essd-16-2317-2024, https://doi.org/10.5194/essd-16-2317-2024, 2024
Short summary
Short summary
Knowledge of small-scale rainfall variability is needed for hydro-meteorological applications in urban areas. Therefore, we present an open-access data set covering reanalyzed radar reflectivities and rainfall estimates measured by a weather radar at high spatio-temporal resolution in the urban environment of Hamburg between 2013 and 2021. We describe the data reanalysis, outline the measurement’s performance for long time periods, and discuss open issues and limitations of the data set.
Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Guy Brasseur, David N. Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M. Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Daniela Jacob, Alexandra Jahn, Christian Jakob, Thomas Jung, Christopher Kadow, In-Sik Kang, Sarah Kang, Karthik Kashinath, Katharina Kleinen-von Königslöw, Daniel Klocke, Uta Kloenne, Milan Klöwer, Chihiro Kodama, Stefan Kollet, Tobias Kölling, Jenni Kontkanen, Steve Kopp, Michal Koran, Markku Kulmala, Hanna Lappalainen, Fakhria Latifi, Bryan Lawrence, June Yi Lee, Quentin Lejeun, Christian Lessig, Chao Li, Thomas Lippert, Jürg Luterbacher, Pekka Manninen, Jochem Marotzke, Satoshi Matsouoka, Charlotte Merchant, Peter Messmer, Gero Michel, Kristel Michielsen, Tomoki Miyakawa, Jens Müller, Ramsha Munir, Sandeep Narayanasetti, Ousmane Ndiaye, Carlos Nobre, Achim Oberg, Riko Oki, Tuba Özkan-Haller, Tim Palmer, Stan Posey, Andreas Prein, Odessa Primus, Mike Pritchard, Julie Pullen, Dian Putrasahan, Johannes Quaas, Krishnan Raghavan, Venkatachalam Ramaswamy, Markus Rapp, Florian Rauser, Markus Reichstein, Aromar Revi, Sonakshi Saluja, Masaki Satoh, Vera Schemann, Sebastian Schemm, Christina Schnadt Poberaj, Thomas Schulthess, Cath Senior, Jagadish Shukla, Manmeet Singh, Julia Slingo, Adam Sobel, Silvina Solman, Jenna Spitzer, Philip Stier, Thomas Stocker, Sarah Strock, Hang Su, Petteri Taalas, John Taylor, Susann Tegtmeier, Georg Teutsch, Adrian Tompkins, Uwe Ulbrich, Pier-Luigi Vidale, Chien-Ming Wu, Hao Xu, Najibullah Zaki, Laure Zanna, Tianjun Zhou, and Florian Ziemen
Earth Syst. Sci. Data, 16, 2113–2122, https://doi.org/10.5194/essd-16-2113-2024, https://doi.org/10.5194/essd-16-2113-2024, 2024
Short summary
Short summary
To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Nicola Bodini, Mike Optis, Stephanie Redfern, David Rosencrans, Alex Rybchuk, Julie K. Lundquist, Vincent Pronk, Simon Castagneri, Avi Purkayastha, Caroline Draxl, Raghavendra Krishnamurthy, Ethan Young, Billy Roberts, Evan Rosenlieb, and Walter Musial
Earth Syst. Sci. Data, 16, 1965–2006, https://doi.org/10.5194/essd-16-1965-2024, https://doi.org/10.5194/essd-16-1965-2024, 2024
Short summary
Short summary
This article presents the 2023 National Offshore Wind data set (NOW-23), an updated resource for offshore wind information in the US. It replaces the Wind Integration National Dataset (WIND) Toolkit, offering improved accuracy through advanced weather prediction models. The data underwent regional tuning and validation and can be accessed at no cost.
Uwe Pfeifroth, Jaqueline Drücke, Steffen Kothe, Jörg Trentmann, Marc Schröder, and Rainer Hollmann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-91, https://doi.org/10.5194/essd-2024-91, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
The energy reaching the Earth’s surface from the sun is a quantity of high importance for the climate system and for many applications. SARAH-3 is a satellite-based climate data record of surface solar radiation parameters. It is generated and distributed by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). SARAH-3 covers more than 4 decades, provides a high spatial and temporal resolution and its validation shows a good accuracy and stability.
Longhu Chen, Qinqin Wang, Guofeng Zhu, Xinrui Lin, Dongdong Qiu, Yinying Jiao, Siyu Lu, Rui Li, Gaojia Meng, and Yuhao Wang
Earth Syst. Sci. Data, 16, 1543–1557, https://doi.org/10.5194/essd-16-1543-2024, https://doi.org/10.5194/essd-16-1543-2024, 2024
Short summary
Short summary
We have compiled data regarding stable precipitation isotopes from 842 sampling points throughout the Eurasian continent since 1961, accumulating a total of 51 753 data records. The collected data have undergone pre-processing and statistical analysis. We also analysed the spatiotemporal distribution of stable precipitation isotopes across the Eurasian continent and their interrelationships with meteorological elements.
Leah Bertrand, Jennifer E. Kay, John Haynes, and Gijs de Boer
Earth Syst. Sci. Data, 16, 1301–1316, https://doi.org/10.5194/essd-16-1301-2024, https://doi.org/10.5194/essd-16-1301-2024, 2024
Short summary
Short summary
The vertical structure of clouds has a major impact on global energy flows, air circulation, and the hydrologic cycle. Two satellite instruments, CloudSat radar and CALIPSO lidar, have taken complementary measurements of cloud vertical structure for over a decade. Here, we present the 3S-GEOPROF-COMB product, a globally gridded satellite data product combining CloudSat and CALIPSO observations of cloud vertical structure.
Jiye Leng, Jing M. Chen, Wenyu Li, Xiangzhong Luo, Mingzhu Xu, Jane Liu, Rong Wang, Cheryl Rogers, Bolun Li, and Yulin Yan
Earth Syst. Sci. Data, 16, 1283–1300, https://doi.org/10.5194/essd-16-1283-2024, https://doi.org/10.5194/essd-16-1283-2024, 2024
Short summary
Short summary
We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration (ET) dataset at the hourly time step by integrating a diagnostic process-based model with dynamic parameterizations. The new dataset provides us with a unique opportunity to study carbon and water fluxes at sub-daily time scales and advance our understanding of ecosystem functions in response to transient environmental changes.
Valentin Wiener, Marie-Laure Roussel, Christophe Genthon, Étienne Vignon, Jacopo Grazioli, and Alexis Berne
Earth Syst. Sci. Data, 16, 821–836, https://doi.org/10.5194/essd-16-821-2024, https://doi.org/10.5194/essd-16-821-2024, 2024
Short summary
Short summary
This paper presents 7 years of data from a precipitation radar deployed at the Dumont d'Urville station in East Antarctica. The main characteristics of the dataset are outlined in a short statistical study. Interannual and seasonal variability are also investigated. Then, we extensively describe the processing method to retrieve snowfall profiles from the radar data. Lastly, a brief comparison is made with two climate models as an application example of the dataset.
Ling Yuan, Xuelong Chen, Yaoming Ma, Cunbo Han, Binbin Wang, and Weiqiang Ma
Earth Syst. Sci. Data, 16, 775–801, https://doi.org/10.5194/essd-16-775-2024, https://doi.org/10.5194/essd-16-775-2024, 2024
Short summary
Short summary
Accurately monitoring and understanding the spatial–temporal variability of evapotranspiration (ET) components over the Tibetan Plateau (TP) remains difficult. Here, 37 years (1982–2018) of monthly ET component data for the TP was produced, and the data are consistent with measurements. The annual average ET for the TP was about 0.93 (± 0.037) × 103 Gt yr−1. The rate of increase of the ET was around 0.96 mm yr−1. The increase in the ET can be explained by warming and wetting of the climate.
Dominik Rains, Isabel Trigo, Emanuel Dutra, Sofia Ermida, Darren Ghent, Petra Hulsman, Jose Gómez-Dans, and Diego G. Miralles
Earth Syst. Sci. Data, 16, 567–593, https://doi.org/10.5194/essd-16-567-2024, https://doi.org/10.5194/essd-16-567-2024, 2024
Short summary
Short summary
Land surface temperature and surface net radiation are vital inputs for many land surface and hydrological models. However, current remote sensing datasets of these variables come mostly at coarse resolutions, and the few high-resolution datasets available have large gaps due to cloud cover. Here, we present a continuous daily product for both variables across Europe for 2018–2019 obtained by combining observations from geostationary as well as polar-orbiting satellites.
Hadleigh D. Thompson, Julie M. Thériault, Stephen J. Déry, Ronald E. Stewart, Dominique Boisvert, Lisa Rickard, Nicolas R. Leroux, Matteo Colli, and Vincent Vionnet
Earth Syst. Sci. Data, 15, 5785–5806, https://doi.org/10.5194/essd-15-5785-2023, https://doi.org/10.5194/essd-15-5785-2023, 2023
Short summary
Short summary
The Saint John River experiment on Cold Season Storms was conducted in northwest New Brunswick, Canada, to investigate the types of precipitation that can lead to ice jams and flooding along the river. We deployed meteorological instruments, took precipitation measurements and photographs of snowflakes, and launched weather balloons. These data will help us to better understand the atmospheric conditions that can affect local communities and townships downstream during the spring melt season.
Raghavendra Krishnamurthy, Gabriel García Medina, Brian Gaudet, William I. Gustafson Jr., Evgueni I. Kassianov, Jinliang Liu, Rob K. Newsom, Lindsay M. Sheridan, and Alicia M. Mahon
Earth Syst. Sci. Data, 15, 5667–5699, https://doi.org/10.5194/essd-15-5667-2023, https://doi.org/10.5194/essd-15-5667-2023, 2023
Short summary
Short summary
Our understanding and ability to observe and model air–sea processes has been identified as a principal limitation to our ability to predict future weather. Few observations exist offshore along the coast of California. To improve our understanding of the air–sea transition zone and support the wind energy industry, two buoys with state-of-the-art equipment were deployed for 1 year. In this article, we present details of the post-processing, algorithms, and analyses.
Baptiste Vandecrux, Jason E. Box, Andreas P. Ahlstrøm, Signe B. Andersen, Nicolas Bayou, William T. Colgan, Nicolas J. Cullen, Robert S. Fausto, Dominik Haas-Artho, Achim Heilig, Derek A. Houtz, Penelope How, Ionut Iosifescu Enescu, Nanna B. Karlsson, Rebecca Kurup Buchholz, Kenneth D. Mankoff, Daniel McGrath, Noah P. Molotch, Bianca Perren, Maiken K. Revheim, Anja Rutishauser, Kevin Sampson, Martin Schneebeli, Sandy Starkweather, Simon Steffen, Jeff Weber, Patrick J. Wright, Henry Jay Zwally, and Konrad Steffen
Earth Syst. Sci. Data, 15, 5467–5489, https://doi.org/10.5194/essd-15-5467-2023, https://doi.org/10.5194/essd-15-5467-2023, 2023
Short summary
Short summary
The Greenland Climate Network (GC-Net) comprises stations that have been monitoring the weather on the Greenland Ice Sheet for over 30 years. These stations are being replaced by newer ones maintained by the Geological Survey of Denmark and Greenland (GEUS). The historical data were reprocessed to improve their quality, and key information about the weather stations has been compiled. This augmented dataset is available at https://doi.org/10.22008/FK2/VVXGUT (Steffen et al., 2022).
Giovanni Chellini, Rosa Gierens, Kerstin Ebell, Theresa Kiszler, Pavel Krobot, Alexander Myagkov, Vera Schemann, and Stefan Kneifel
Earth Syst. Sci. Data, 15, 5427–5448, https://doi.org/10.5194/essd-15-5427-2023, https://doi.org/10.5194/essd-15-5427-2023, 2023
Short summary
Short summary
We present a comprehensive quality-controlled dataset of remote sensing observations of low-level mixed-phase clouds (LLMPCs) taken at the high Arctic site of Ny-Ålesund, Svalbard, Norway. LLMPCs occur frequently in the Arctic region, and substantially warm the surface. However, our understanding of microphysical processes in these clouds is incomplete. This dataset includes a comprehensive set of variables which allow for extensive investigation of such processes in LLMPCs at the site.
Solomon H. Gebrechorkos, Jian Peng, Ellen Dyer, Diego G. Miralles, Sergio M. Vicente-Serrano, Chris Funk, Hylke E. Beck, Dagmawi T. Asfaw, Michael B. Singer, and Simon J. Dadson
Earth Syst. Sci. Data, 15, 5449–5466, https://doi.org/10.5194/essd-15-5449-2023, https://doi.org/10.5194/essd-15-5449-2023, 2023
Short summary
Short summary
Drought is undeniably one of the most intricate and significant natural hazards with far-reaching consequences for the environment, economy, water resources, agriculture, and societies across the globe. In response to this challenge, we have devised high-resolution drought indices. These indices serve as invaluable indicators for assessing shifts in drought patterns and their associated impacts on a global, regional, and local level facilitating the development of tailored adaptation strategies.
Emma L. Robinson, Chris Huntingford, Valyaveetil Shamsudheen Semeena, and James M. Bullock
Earth Syst. Sci. Data, 15, 5371–5401, https://doi.org/10.5194/essd-15-5371-2023, https://doi.org/10.5194/essd-15-5371-2023, 2023
Short summary
Short summary
CHESS-SCAPE is a suite of high-resolution climate projections for the UK to 2080, derived from United Kingdom Climate Projections 2018 (UKCP18), designed to support climate impact modelling. It contains four realisations of four scenarios of future greenhouse gas levels (RCP2.6, 4.5, 6.0 and 8.5), with and without bias correction to historical data. The variables are available at 1 km resolution and a daily time step, with monthly, seasonal and annual means and 20-year mean-monthly time slices.
Motoshi Nishimura, Teruo Aoki, Masashi Niwano, Sumito Matoba, Tomonori Tanikawa, Tetsuhide Yamasaki, Satoru Yamaguchi, and Koji Fujita
Earth Syst. Sci. Data, 15, 5207–5226, https://doi.org/10.5194/essd-15-5207-2023, https://doi.org/10.5194/essd-15-5207-2023, 2023
Short summary
Short summary
We presented the method of data quality checks and the dataset for two ground weather observations in northwest Greenland. We found that the warm and clear weather conditions in the 2015, 2019, and 2020 summers caused the snowmelt and the decline in surface reflectance of solar radiation at a low-elevated site (SIGMA-B; 944 m), but those were not seen at the high-elevated site (SIGMA-A; 1490 m). We hope that our data management method and findings will help climate scientists.
Shaomin Liu, Ziwei Xu, Tao Che, Xin Li, Tongren Xu, Zhiguo Ren, Yang Zhang, Junlei Tan, Lisheng Song, Ji Zhou, Zhongli Zhu, Xiaofan Yang, Rui Liu, and Yanfei Ma
Earth Syst. Sci. Data, 15, 4959–4981, https://doi.org/10.5194/essd-15-4959-2023, https://doi.org/10.5194/essd-15-4959-2023, 2023
Short summary
Short summary
We present a suite of observational datasets from artificial and natural oases–desert systems that consist of long-term turbulent flux and auxiliary data, including hydrometeorological, vegetation, and soil parameters, from 2012 to 2021. We confirm that the 10-year, long-term dataset presented in this study is of high quality with few missing data, and we believe that the data will support ecological security and sustainable development in oasis–desert areas.
Gina C. Jozef, Robert Klingel, John J. Cassano, Björn Maronga, Gijs de Boer, Sandro Dahlke, and Christopher J. Cox
Earth Syst. Sci. Data, 15, 4983–4995, https://doi.org/10.5194/essd-15-4983-2023, https://doi.org/10.5194/essd-15-4983-2023, 2023
Short summary
Short summary
Observations from the MOSAiC expedition relating to lower-atmospheric temperature, wind, stability, moisture, and surface radiation budget from radiosondes, a meteorological tower, radiation station, and ceilometer were compiled to create a dataset which describes the thermodynamic and kinematic state of the central Arctic lower atmosphere between October 2019 and September 2020. This paper describes the methods used to develop this lower-atmospheric properties dataset.
Karl-Göran Karlsson, Martin Stengel, Jan Fokke Meirink, Aku Riihelä, Jörg Trentmann, Tom Akkermans, Diana Stein, Abhay Devasthale, Salomon Eliasson, Erik Johansson, Nina Håkansson, Irina Solodovnik, Nikos Benas, Nicolas Clerbaux, Nathalie Selbach, Marc Schröder, and Rainer Hollmann
Earth Syst. Sci. Data, 15, 4901–4926, https://doi.org/10.5194/essd-15-4901-2023, https://doi.org/10.5194/essd-15-4901-2023, 2023
Short summary
Short summary
This paper presents a global climate data record on cloud parameters, radiation at the surface and at the top of atmosphere, and surface albedo. The temporal coverage is 1979–2020 (42 years) and the data record is also continuously updated until present time. Thus, more than four decades of climate parameters are provided. Based on CLARA-A3, studies on distribution of clouds and radiation parameters can be made and, especially, investigations of climate trends and evaluation of climate models.
Jinghua Xiong, Abhishek, Li Xu, Hrishikesh A. Chandanpurkar, James S. Famiglietti, Chong Zhang, Gionata Ghiggi, Shenglian Guo, Yun Pan, and Bramha Dutt Vishwakarma
Earth Syst. Sci. Data, 15, 4571–4597, https://doi.org/10.5194/essd-15-4571-2023, https://doi.org/10.5194/essd-15-4571-2023, 2023
Short summary
Short summary
To overcome the shortcomings associated with limited spatiotemporal coverage, input data quality, and model simplifications in prevailing evaporation (ET) estimates, we developed an ensemble of 4669 unique terrestrial ET subsets using an independent mass balance approach. Long-term mean annual ET is within 500–600 mm yr−1 with a unimodal seasonal cycle and several piecewise trends during 2002–2021. The uncertainty-constrained results underpin the notion of increasing ET in a warming climate.
Boyang Jiao, Yucheng Su, Qingxiang Li, Veronica Manara, and Martin Wild
Earth Syst. Sci. Data, 15, 4519–4535, https://doi.org/10.5194/essd-15-4519-2023, https://doi.org/10.5194/essd-15-4519-2023, 2023
Short summary
Short summary
This paper develops an observational integrated and homogenized global-terrestrial (except for Antarctica) SSRIH station. This is interpolated into a 5° × 5° SSRIH grid and reconstructed into a long-term (1955–2018) global land (except for Antarctica) 5° × 2.5° SSR anomaly dataset (SSRIH20CR) by an improved partial convolutional neural network deep-learning method. SSRIH20CR yields trends of −1.276 W m−2 per decade over the dimming period and 0.697 W m−2 per decade over the brightening period.
Lukas Frank, Marius Opsanger Jonassen, Teresa Remes, Florina Roana Schalamon, and Agnes Stenlund
Earth Syst. Sci. Data, 15, 4219–4234, https://doi.org/10.5194/essd-15-4219-2023, https://doi.org/10.5194/essd-15-4219-2023, 2023
Short summary
Short summary
The Isfjorden Weather Information Network (IWIN) provides continuous meteorological near-surface observations from Isfjorden in Svalbard. The network combines permanent automatic weather stations on lighthouses along the coast line with mobile stations on board small tourist cruise ships regularly trafficking the fjord during spring to autumn. All data are available online in near-real time. Besides their scientific value, IWIN data crucially enhance the safety of field activities in the region.
Jingya Han, Chiyuan Miao, Jiaojiao Gou, Haiyan Zheng, Qi Zhang, and Xiaoying Guo
Earth Syst. Sci. Data, 15, 3147–3161, https://doi.org/10.5194/essd-15-3147-2023, https://doi.org/10.5194/essd-15-3147-2023, 2023
Short summary
Short summary
Constructing a high-quality, long-term daily precipitation dataset is essential to current hydrometeorology research. This study aims to construct a long-term daily precipitation dataset with different spatial resolutions based on 2839 gauge observations. The constructed precipitation dataset shows reliable quality compared with the other available precipitation products and is expected to facilitate the advancement of drought monitoring, flood forecasting, and hydrological modeling.
Christian Borger, Steffen Beirle, and Thomas Wagner
Earth Syst. Sci. Data, 15, 3023–3049, https://doi.org/10.5194/essd-15-3023-2023, https://doi.org/10.5194/essd-15-3023-2023, 2023
Short summary
Short summary
This study presents a long-term data set of monthly mean total column water vapour (TCWV) based on measurements of the Ozone Monitoring Instrument (OMI) covering the time range from January 2005 to December 2020. We describe how the TCWV values are retrieved from UV–Vis satellite spectra and demonstrate that the OMI TCWV data set is in good agreement with various different reference data sets. Moreover, we also show that it fulfills typical stability requirements for climate data records.
Jonathan Demaeyer, Jonas Bhend, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, and Stéphane Vannitsem
Earth Syst. Sci. Data, 15, 2635–2653, https://doi.org/10.5194/essd-15-2635-2023, https://doi.org/10.5194/essd-15-2635-2023, 2023
Short summary
Short summary
A benchmark dataset is proposed to compare different statistical postprocessing methods used in forecasting centers to properly calibrate ensemble weather forecasts. This dataset is based on ensemble forecasts covering a portion of central Europe and includes the corresponding observations. Examples on how to download and use the data are provided, a set of evaluation methods is proposed, and a first benchmark of several methods for the correction of 2 m temperature forecasts is performed.
Santiago Beguería, Dhais Peña-Angulo, Víctor Trullenque-Blanco, and Carlos González-Hidalgo
Earth Syst. Sci. Data, 15, 2547–2575, https://doi.org/10.5194/essd-15-2547-2023, https://doi.org/10.5194/essd-15-2547-2023, 2023
Short summary
Short summary
A gridded dataset on monthly precipitation over mainland Spain between spans 1916–2020. The dataset combines ground observations from the Spanish National Climate Data Bank and new data rescued from meteorological yearbooks published prior to 1951, which almost doubled the number of weather stations available during the first decades of the 20th century. Geostatistical techniques were used to interpolate a regular 10 x 10 km grid.
Dirk Nikolaus Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, Olaf Conrad, Niklaus E. Zimmermann, and Katja Frieler
Earth Syst. Sci. Data, 15, 2445–2464, https://doi.org/10.5194/essd-15-2445-2023, https://doi.org/10.5194/essd-15-2445-2023, 2023
Short summary
Short summary
We present the first 1 km, daily, global climate dataset for climate impact studies. We show that the high-resolution data have a decreased bias and higher correlation with measurements from meteorological stations than coarser data. The dataset will be of value for a wide range of climate change impact studies both at global and regional level that benefit from using a consistent global dataset.
Elisa Adirosi, Federico Porcù, Mario Montopoli, Luca Baldini, Alessandro Bracci, Vincenzo Capozzi, Clizia Annella, Giorgio Budillon, Edoardo Bucchignani, Alessandra Lucia Zollo, Orietta Cazzuli, Giulio Camisani, Renzo Bechini, Roberto Cremonini, Andrea Antonini, Alberto Ortolani, Samantha Melani, Paolo Valisa, and Simone Scapin
Earth Syst. Sci. Data, 15, 2417–2429, https://doi.org/10.5194/essd-15-2417-2023, https://doi.org/10.5194/essd-15-2417-2023, 2023
Short summary
Short summary
The paper describes the database of 1 min drop size distribution (DSD) of atmospheric precipitation collected by the Italian disdrometer network over the last 10 years. These data are useful for several applications that range from climatological, meteorological and hydrological uses to telecommunications, agriculture and conservation of cultural heritage exposed to precipitation. Descriptions of the processing and of the database organization, along with some examples, are provided.
Jinfang Yin, Xudong Liang, Yanxin Xie, Feng Li, Kaixi Hu, Lijuan Cao, Feng Chen, Haibo Zou, Feng Zhu, Xin Sun, Jianjun Xu, Geli Wang, Ying Zhao, and Juanjuan Liu
Earth Syst. Sci. Data, 15, 2329–2346, https://doi.org/10.5194/essd-15-2329-2023, https://doi.org/10.5194/essd-15-2329-2023, 2023
Short summary
Short summary
A collection of regional reanalysis datasets has been produced. However, little attention has been paid to East Asia, and there are no long-term, physically consistent regional reanalysis data available. The East Asia Reanalysis System was developed using the WRF model and GSI data assimilation system. A 39-year (1980–2018) reanalysis dataset is available for the East Asia region, at a high temporal (of 3 h) and spatial resolution (of 12 km), for mesoscale weather and regional climate studies.
John Erik Engström, Lennart Wern, Sverker Hellström, Erik Kjellström, Chunlüe Zhou, Deliang Chen, and Cesar Azorin-Molina
Earth Syst. Sci. Data, 15, 2259–2277, https://doi.org/10.5194/essd-15-2259-2023, https://doi.org/10.5194/essd-15-2259-2023, 2023
Short summary
Short summary
Newly digitized wind speed observations provide data from the time period from around 1920 to the present, enveloping one full century of wind measurements. The results of this work enable the investigation of the historical variability and trends in surface wind speed in Sweden for
the last century.
Ulrike Herzschuh, Thomas Böhmer, Chenzhi Li, Manuel Chevalier, Raphaël Hébert, Anne Dallmeyer, Xianyong Cao, Nancy H. Bigelow, Larisa Nazarova, Elena Y. Novenko, Jungjae Park, Odile Peyron, Natalia A. Rudaya, Frank Schlütz, Lyudmila S. Shumilovskikh, Pavel E. Tarasov, Yongbo Wang, Ruilin Wen, Qinghai Xu, and Zhuo Zheng
Earth Syst. Sci. Data, 15, 2235–2258, https://doi.org/10.5194/essd-15-2235-2023, https://doi.org/10.5194/essd-15-2235-2023, 2023
Short summary
Short summary
Climate reconstruction from proxy data can help evaluate climate models. We present pollen-based reconstructions of mean July temperature, mean annual temperature, and annual precipitation from 2594 pollen records from the Northern Hemisphere, using three reconstruction methods (WA-PLS, WA-PLS_tailored, and MAT). Since no global or hemispheric synthesis of quantitative precipitation changes are available for the Holocene so far, this dataset will be of great value to the geoscientific community.
Aart Overeem, Else van den Besselaar, Gerard van der Schrier, Jan Fokke Meirink, Emiel van der Plas, and Hidde Leijnse
Earth Syst. Sci. Data, 15, 1441–1464, https://doi.org/10.5194/essd-15-1441-2023, https://doi.org/10.5194/essd-15-1441-2023, 2023
Short summary
Short summary
EURADCLIM is a new precipitation dataset covering a large part of Europe. It is based on weather radar data to provide local precipitation information every hour and combined with rain gauge data to obtain good precipitation estimates. EURADCLIM provides a much better reference for validation of weather model output and satellite precipitation datasets. It also allows for climate monitoring and better evaluation of extreme precipitation events and their impact (landslides, flooding).
Alfonso Ferrone and Alexis Berne
Earth Syst. Sci. Data, 15, 1115–1132, https://doi.org/10.5194/essd-15-1115-2023, https://doi.org/10.5194/essd-15-1115-2023, 2023
Short summary
Short summary
This article presents the datasets collected between November 2019 and February 2020 in the vicinity of the Belgian research base Princess Elisabeth Antarctica. Five meteorological radars, a multi-angle snowflake camera, three weather stations, and two radiometers have been deployed at five sites, up to a maximum distance of 30 km from the base. Their varied locations allow the study of spatial variability in snowfall and its interaction with the complex terrain in the region.
José Dias Neto, Louise Nuijens, Christine Unal, and Steven Knoop
Earth Syst. Sci. Data, 15, 769–789, https://doi.org/10.5194/essd-15-769-2023, https://doi.org/10.5194/essd-15-769-2023, 2023
Short summary
Short summary
This paper describes a dataset from a novel experimental setup to retrieve wind speed and direction profiles, combining cloud radars and wind lidar. This setup allows retrieving profiles from near the surface to the top of clouds. The field campaign occurred in Cabauw, the Netherlands, between September 13th and October 3rd 2021. This paper also provides examples of applications of this dataset (e.g. studying atmospheric turbulence, validating numerical atmospheric models).
Peng Yuan, Geoffrey Blewitt, Corné Kreemer, William C. Hammond, Donald Argus, Xungang Yin, Roeland Van Malderen, Michael Mayer, Weiping Jiang, Joseph Awange, and Hansjörg Kutterer
Earth Syst. Sci. Data, 15, 723–743, https://doi.org/10.5194/essd-15-723-2023, https://doi.org/10.5194/essd-15-723-2023, 2023
Short summary
Short summary
We developed a 5 min global integrated water vapour (IWV) product from 12 552 ground-based GPS stations in 2020. It contains more than 1 billion IWV estimates. The dataset is an enhanced version of the existing operational GPS IWV dataset from the Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.
Yaozhi Jiang, Kun Yang, Youcun Qi, Xu Zhou, Jie He, Hui Lu, Xin Li, Yingying Chen, Xiaodong Li, Bingrong Zhou, Ali Mamtimin, Changkun Shao, Xiaogang Ma, Jiaxin Tian, and Jianhong Zhou
Earth Syst. Sci. Data, 15, 621–638, https://doi.org/10.5194/essd-15-621-2023, https://doi.org/10.5194/essd-15-621-2023, 2023
Short summary
Short summary
Our work produces a long-term (1979–2020) high-resolution (1/30°, daily) precipitation dataset for the Third Pole (TP) region by merging an advanced atmospheric simulation with high-density rain gauge (more than 9000) observations. Validation shows that the produced dataset performs better than the currently widely used precipitation datasets in the TP. This dataset can be used for hydrological, meteorological and ecological studies in the TP.
Yetang Wang, Xueying Zhang, Wentao Ning, Matthew A. Lazzara, Minghu Ding, Carleen H. Reijmer, Paul C. J. P. Smeets, Paolo Grigioni, Petra Heil, Elizabeth R. Thomas, David Mikolajczyk, Lee J. Welhouse, Linda M. Keller, Zhaosheng Zhai, Yuqi Sun, and Shugui Hou
Earth Syst. Sci. Data, 15, 411–429, https://doi.org/10.5194/essd-15-411-2023, https://doi.org/10.5194/essd-15-411-2023, 2023
Short summary
Short summary
Here we construct a new database of Antarctic automatic weather station (AWS) meteorological records, which is quality-controlled by restrictive criteria. This dataset compiled all available Antarctic AWS observations, and its resolutions are 3-hourly, daily and monthly, which is very useful for quantifying spatiotemporal variability in weather conditions. Furthermore, this compilation will be used to estimate the performance of the regional climate models or meteorological reanalysis products.
Hui Zhang, Ming Luo, Yongquan Zhao, Lijie Lin, Erjia Ge, Yuanjian Yang, Guicai Ning, Jing Cong, Zhaoliang Zeng, Ke Gui, Jing Li, Ting On Chan, Xiang Li, Sijia Wu, Peng Wang, and Xiaoyu Wang
Earth Syst. Sci. Data, 15, 359–381, https://doi.org/10.5194/essd-15-359-2023, https://doi.org/10.5194/essd-15-359-2023, 2023
Short summary
Short summary
We generate the first monthly high-resolution (1 km) human thermal index collection (HiTIC-Monthly) in China over 2003–2020, in which 12 human-perceived temperature indices are generated by LightGBM. The HiTIC-Monthly dataset has a high accuracy (R2 = 0.996, RMSE = 0.693 °C, MAE = 0.512 °C) and describes explicit spatial variations for fine-scale studies. It is freely available at https://zenodo.org/record/6895533 and https://data.tpdc.ac.cn/disallow/036e67b7-7a3a-4229-956f-40b8cd11871d.
Cited articles
Abbe, C.: Treatise on Meteorological Apparatus and Methods, Annual Report of
the Chief Signal Officer for 1887, Appendix 46, Government Printing Office,
Washington, DC, USA, available at:
https://books.google.it/books?id=i0c5AQAAMAAJ&print
sec=frontcover&dq=abbe+Treatise+on+Meteorological+Appara
tus+and+Methods&hl=it&sa=X&ved=2ahUKEwjv7Mvtqt7rAh
XCrIsKHQkYCTwQ6AEwAHoECAUQAg#v=onepage&q=abb
e%20Treatise%20on%20Meteorological%20Apparatus%20and
%20Methods&f=false
(last access: 27 January 2021), 1888.
Adria Commission: Erster Bericht der ständigen Commission für die
Adria an die kais, Akademie der Wissenschaften, k.k. Hof- und
Staatsdruckerei, Vienna, Austria, available at:
https://books.google.it/books?id=8_-ZG6mCcp0C&printsec=frontcover&source=gbs_atb&redir_esc=y#v=onepage&q&f=false (last
access: 27 January 2021), 1869.
Auer, I., Böhm, R., Jurkovic, A., Lipa, W., Orlik, A., Potzmann,
R., Schöner, W., Ungersböck, M., Matulla, C., Briffa, K., Jones,
P., Efthymiadis, D., Brunetti, M., Nanni, T., Maugeri, M., Mercalli,
L., Mestre, O., Moisselin, J.-M., Begert, M., Müller-Westermeier,
G., Kveton, V., Bochnicek, O., Stastny, P., Lapin, M., Szalai,
S., Szentimrey, T., Cegnar, T., Dolinar, M., Gajic-Capka, M., Zaninovic,
K., Majstorovic, Z., and Nieplova, E.: HISTALP – Historical instrumental
climatological surface time series of the greater Alpine region, Int. J.
Climatol., 27, 17–46, https://doi.org/10.1002/joc.1377, 2007.
Brönnimann, S., Allan, R., Ashcroft, L., Baer, S., Barriendos, M.,
Brázdil, R., Brugnara, Y., Brunet, M., Brunetti, M., Chimani, B.,
Cornes, R., Domínguez-Castro, F., Filipiak, J., Founda, D., García
Herrera, R., Gergis, J., Grab, S., Hannak, L., Huhtamaa, H., Jacobsen, K. S.,
Jones, P., Jourdain, S., Kiss, A., Lin, K. E., Lorrey, A., Lundstad, E.,
Luterbacher, J., Mauelshagen, F., Maugeri, M., Maughan, N., Moberg, A.,
Neukom, R., Nicholson, S., Noone, S., Nordli, Ø., Ólafsdóttir,
K. B., Pearce, P. R., Pfister, L., Pribyl, K., Przybylak, R., Pudmenzky, C.,
Rasol, D., Reichenbach, D., Řezníčková, L., Rodrigo, F. S.,
Rohr, C., Skrynyk, O., Slonosky, V., Thorne, P., Valente, M. A., Vaquero,
J. M., Westcott, N. E., Williamson, F., and Wyszyński, P.: Unlocking
pre-1850 instrumental meteorological records. A Global Inventory, B. Am.
Meteorol. Soc., 100, ES389–ES413, https://doi.org/10.1175/BAMS-D-19-0040.1, 2019.
Brugnara, Y., Auchmann, R., Brönnimann, S., Allan, R. J., Auer, I., Barriendos, M., Bergström, H., Bhend, J., Brázdil, R., Compo, G. P., Cornes, R. C., Dominguez-Castro, F., van Engelen, A. F. V., Filipiak, J., Holopainen, J., Jourdain, S., Kunz, M., Luterbacher, J., Maugeri, M., Mercalli, L., Moberg, A., Mock, C. J., Pichard, G., Řezníčková, L., van der Schrier, G., Slonosky, V., Ustrnul, Z., Valente, M. A., Wypych, A., and Yin, X.: A collection of sub-daily pressure and temperature observations for the early instrumental period with a focus on the “year without a summer” 1816, Clim. Past, 11, 1027–1047, https://doi.org/10.5194/cp-11-1027-2015, 2015.
Camuffo, D. and Jones, P.: Improved Understanding of Past Climatic
Variability from Early Daily European Instrumental Sources, Kluwer Academic
Publishers, Dordrecht, The Netherlands, 2002.
Camuffo, D., Cocheo, C., and Sturaro, G.: Corrections of systematic errors,
data homogenisation and climatic analysis of the Padova pressure series
(1725–1999), Climatic Change, 78, 493–514, https://doi.org/10.1007/s10584-006-9052-3,
2006.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1852, IV Band, k.k. Hof- und
Staatsdruckerei, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1856.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1864, N.F. I Band, k.k. Hof- und
Staatsdruckerei, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1866.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1867, N.F. IV Band, k.k. Hof- und
Universitäts-Buchhändler, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1869.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1868, N.F. V Band, k.k. Hof- und
Universitäts-Buchhändler, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1870.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1872, N.F. IX Band, k.k. Hof- und
Universitäts-Buchhändler, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1874.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1882, N.F. XIX Band, k.k. Hof- und
Universitäts-Buchhändler, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1884.
Central-Anstalt: Jahrbücher der k.k. Central-Anstalt für
Meteorologie und Erdmagnetismus, Jahrgang 1884, N.F. XXI Band, k.k. Hof- und
Universitäts-Buchhändler, Vienna, Austria, available at:
https://opacplus.bsb-muenchen.de/title/BV042125944 (last access: 27 January
2021), 1885.
Cocheo, C. and Camuffo, D.: Corrections of systematic errors and data
homogenisation in the daily temperature Padova time series (1725–1998),
Climatic Change, 53, 77–100, https://doi.org/10.1023/A:1014950306015, 2002.
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J.,
Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P.,
Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman,
P. Y., Jones, P. D., Kruk, M., Kruger, A. C., Marshall, G. J., Maugeri, M., Mok,
H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M., Wang, X. L., Woodruff, S. D.,
and Worley, S. J.: The Twentieth Century Reanalysis Project, Q. J.
Roy. Meteor. Soc., 137, 1–28, https://doi.org/10.1002/qj.776, 2011.
Cornes, R. C., Jones, P. D., Briffa, K. R., and Osborn, T. J.: A daily series of
mean sea-level pressure for London, 1692–2007, Int. J. Climatol., 32,
641–656, https://doi.org/10.1002/joc.2301, 2012a.
Cornes, R. C., Jones, P. D., Briffa, K. R., and Osborn, T. J.: A daily series of
mean sea-level pressure for Paris, 1670–2007, Int. J. Climatol., 32,
1135–1150, https://doi.org/10.1002/joc.2349, 2012b.
Gallo, V.: Repertori, 7 volumes, CNR-ISMAR Archive, Trieste, Italy,
1841–1868.
Gallo, V.: Sullo stato attuale della meteorologia in Trieste, in: C. Palomba
e Comp., Raccolta di lettere ed altri scritti attorno alla fisica e alle
matematiche, Anno II, 54–57, 114–117, 147–148, 194–196, 212–213,
289–295, 323–325, Tip. Marini e Morini, Rome, Italy, available at:
https://books.google.it/books?id=YTU3AAAAYAAJ&printsec=
frontcover&dq=Raccolta+di+lettere+ed+altri+scritti+attorno+
alla+fisica+e+alle+matematiche&hl=it&sa=X&ved=2ahUKEwiK
5ZroqN7rAhViposKHcY8B5YQ6AEwAHoECAEQAg#v=
onepage&q=Raccolta di lettere ed altri scritti attorno alla fisica e alle matema40&f=false
(last access: 27 January 2021), 1846.
Giese, B. S., Seidel, H. F., Compo, G. P., and Sardeshmukh, P. D.: An ensemble
of ocean reanalyses for 1815–2013 with sparse observational input, J.
Geophys. Res.-Oceans, 121, 6891–6910, https://doi.org/10.1002/2016JC012079, 2016.
I.R. Accademia di Commercio e Nautica: Prospetto degli studj dell'I.R.
Accademia di Commercio e Nautica per l'anno scolastico 1852–1853, Tipografia
del Governo, Trieste, 38 pp., 1853.
Jelinek, C.: Anleitung zur Anstellung meteorologischer Beobachtungen und
Sammlung von Hilfstafeln, k.k Hof- und Staatsdruckerei, Vienna, Austria,
available at:
https://books.google.it/books/about/Anleitung_zur_Anstellung_meteorologische.html?id=Yt9Lo9e2914C&redir_esc=y
(last
access: 27 January 2021), 1876.
Jelinek, K.: Über den Jährlichen Gang der Temperatur und Luftdruckes
in Österreich und an einigen benachbarten Stationen. k.k. Akademie der
Wissenschaften, Denkschriften der mathematisch-naturwissenschaftlichen
Classes, XXVI Band, 28–63, available at:
https://books.google.it/books?id=a29FAQAAMAAJ&pg=PA1&dq=
Jelinek,+K.:+%C3%9Cber+den+J%C3%A4hrlichen+Gang+der+
Temperatur+1867&hl=it&sa=X&ved=2ahUKEwi9puCkqN7rAh
VmoosKHWtGDxQQ6AEwAnoECAYQAg#v=onepage&q&f=
false
(last access: 27 January 2021), 1867.
Kreil, K. (Ed.): Mehrjärige Beobachtungen in Triest, Vom Jahre 1841 bis
1850, Jahrbücher der k.k. Central-Anstalt von Meteorologie und
Erdmagnetismus, I. Band – Jahrgang 1848 und 1849, k.k. Hof- und
Staatsdruckerei, Wien, 196–207, 1854.
Liu, H. and Darkow, G.: Wind effect on measured atmospheric pressure, J.
Atmos. Ocean. Tech., 6, 5–12, https://doi.org/10.1175/1520-0426(1989)006<0005:WEOMAP>2.0.CO;2, 1989.
Martini, A.: Manuale di Metrologia, Ossia Misure, Pesi e Monete in Uso
Attualmente e Anticamente Presso Tutti i Popoli, Loescher, Turin, Italy,
available at: http://www.braidense.it/dire/martini/indice.htm (last access:
27 January 2021), 1883.
Maugeri, M., Buffoni, L., and Chlistovsky, F.: Daily Milan temperature and
pressure series (1763–1998): history of the observations and data and
metadata recovery, Climatic Change, 53, 101–117, https://doi.org/10.1023/A:1014970825579,
2002a.
Maugeri, M., Buffoni, L., Delmonte, B., and Fassina, A.: Daily Milan
temperature and pressure series (1763–1998): Completing and homogenising
the data, Climatic Change, 53, 119–149, https://doi.org/10.1023/A:1014923027396, 2002b.
Maugeri, M., Brunetti, M., Monti, F., and Nanni, T.: Sea-level pressure
variability in the Po Plain (1765–2000) from homogenized daily secular
records, Int. J. Climatol., 24, 437–455, https://doi.org/10.1002/joc.991, 2004.
Maul, G. A. and Martin, D. M.: Sea Level rise at Key West, Florida,
1846–1992: America's longest instrumental record?, Geophys. Res. Lett., 20,
1955–1958, https://doi.org/10.1029/93GL02371, 1993.
Mazelle, E.: Ueber den Luftdruck in Triest, Rapporto annuale
dell'Osservatorio Marittimo 1886, Tipografia del Lloyd Austro-ungarico,
Trieste, Italy, 1889.
Mazelle, E.: Prefazione, Rapporto annuale dell'Osservatorio Marittimo 1903,
Tipografia del Lloyd Austriaco, Trieste, Italy, 1907.
Meeus, J.: Astronomical algorithms, Willmann-Bell Inc., Richmond, VA, USA,
1998.
Meteorologisch Jaarboek: Meteorologisch Jaarboek voor 1870, Koninklijk
Nederlandsch Meteorologisch Instituut, Utrecht, The Netherlands, available
at: https://opacplus.bsb-muenchen.de/Vta2/bsb11035259/bsb:43925481871 (last
access: 2 June 2021), 1871.
Osnaghi, F.: Zusammenstellung der Monat- und Jahresmittel sowie der Extreme
aus den meteorologischen Beobachtungen der k.k. Handels- und nautischen
Akademie in Triest für die Jahre 1841–1873, Jahrbücher der k.k.
Central-Anstalt von Meteorologie und Erdmagnetismus, neue Folge IX. Band –
Jahrgang 1872, k.k. Hof- und Staatsdruckerei, Vienna, Austria, 173–195,
available at: https://opacplus.bsb-muenchen.de/title/BV042125944 (last
access: 27 January 2021), 1874.
Osnaghi, F.: Prefazione, Rapporto annuale dell'Osservatorio Marittimo 1884,
Tipografia del Lloyd Austro-ungarico, Trieste, Italy, 1886.
Polli, S.: 110 anni di osservazioni meteoriche eseguite a Trieste
(1841–1950), P. VII. Le serie barometriche, Boll. Soc. Adr. Sc. Nat., 46,
111–122, 1951–1952.
Raicich, F. and Colucci, R. R.: A near-surface sea temperature time series from Trieste, northern Adriatic Sea (1899–2015), Earth Syst. Sci. Data, 11, 761–768, https://doi.org/10.5194/essd-11-761-2019, 2019.
Raicich, F. and Colucci, R. R.: Mean-sea-level atmospheric pressure from
1841 to 2018 at Trieste, Italy, PANGAEA, https://doi.org/10.1594/PANGAEA.926896, 2021.
Raicich, F., Malačič, V., Celio, M., Giaiotti, D., Cantoni, C.,
Colucci, R.R., Čermelj, B., and Pucillo, A.: Extreme air-sea
interactions in the Gulf of Trieste (North Adriatic) during the strong Bora
event in winter 2012, J. Geophys. Res.-Oceans, 118, 5238–5250,
https://doi.org/10.1002/jgrc.20398, 2013.
Rossetti, D.: Elementi per la statistica di Trieste e dell'Istria. Parte I,
Archeografo Triestino 1 (1st series), 13–34, available at:
https://books.google.it/books?id=BEujYkY4F0AC&hl=it&source=gbs_book_other_versions (last access: 27 January
2021), 1829.
Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese,
B. S., McColl, C., Allan, R., Yin, X., Vose, R., Titchner, H., Kennedy, J.,
Spencer, L. J., Ashcroft, L., Brönnimann, S., Brunet, M., Camuffo, D.,
Cornes, R., Cram, T. A., Crouthamel, R., Domínguez-Castro, F., Freeman,
J. E., Gergis, J., Hawkins, E., Jones, P. D., Jourdain, S., Kaplan, A.,
Kubota, H., Le Blancq, F., Lee, T., Lorrey, A., Luterbacher, J., Maugeri,
M., Mock, C. J., Moore, G. K., Przybylak, R., Pudmenzky, C., Reason, C.,
Slonosky, V. C., Smith, C., Tinz, B., Trewin, B., Valente, M. A., Wang, X. L.,
Wilkinson, C., Wood, K., and Wyszyński, P.: Towards a more reliable
historical reanalysis: Improvements for version 3 of the Twentieth Century
Reanalysis system, Q. J. Roy. Meteor. Soc., 145, 2876–2908,
https://doi.org/10.1002/qj.3598, 2019.
Stravisi, F.: A BASIC program for psychrometric computation and mercury
barometer corrections, Università degli Studi di Trieste, Dipartimento
di Fisica Teorica, Report FTC 88/3, available at:
http://docplayer.net/38480357-A-basic-program-for-psychrometric-computations-and-mercury-barometer-corrections.html
(last access: 27 January 2021), 1988.
Stravisi, F.: La meteorologia a Trieste, in: La
variabilità del clima locale relazionata ai fenomeni di cambiamento
globale, edited by: Cortemiglia, G. C., Pàtron Editore, Bologna, Italy, 245–288, 2006.
von Storch, H. and Zwiers, F. W.: Statistical analysis in climate research,
Cambridge University Press, Cambridge, UK, 2001.
Wilks, D. S.: Statistical methods in the atmospheric sciences, Academic
Press, Burlington, MA, USA, 2006.
WMO: Reduction of Atmospheric Pressure (Preliminary Report on Problems
Involved), WMO Technical Note No. 7, WMO-No. 36.TP.12, Geneva, Switzerland,
available at: https://library.wmo.int/doc_num.php?explnum_id=3443 (last access: 27 January 2021),
1954.
WMO: Methods in Use for the Reduction of Atmospheric Pressure, WMO Technical
Note No. 91, WMO-No. 226.TP.120, Geneva, Switzerland, available at:
https://library.wmo.int/doc_num.php?explnum_id=3445 (last access: 27 January 2021), 1968.
WMO: Guide to Meteorological Instruments and Methods of Observation, Volume
I – Measurements of meteorological Variables, WMO-No. 8, Geneva,
Switzerland, available at: https://library.wmo.int/doc_num.php?explnum_id=10179 (last access: 27 January 2021),
2018.
Zerbini, S., Plag, H.-P., Baker, T., Becker, M., Billiris, H., Bürki,
B., Kahle, H.-G., Marson, I., Pezzoli, L., Richter, B., Romagnoli, C.,
Sztobryn, M., Tomasi, P., Tsimplis, M., Veis, G., and Verrone, G.: Sea level
in the Mediterranean: a first step towards separating crustal movements and
absolute sea-level variations, Global Planet. Change, 14, 1–48,
https://doi.org/10.1016/0921-8181(96)00003-3, 1996.
Zervas, C. E.: Sea level variations of the United States, 1854–1999, NOAA
Technical Report NOS CO-OPS 36, U.S. Dept. of Commerce, National Oceanic and
Atmospheric Administration, National Ocean Service, Silver Spring, MD, USA,
available at: https://data.globalchange.gov/report/noaa-nos-co-ops-36 (last
access: 10 September 2020), 2001.
Short summary
To understand climate change, it is essential to analyse long time series of atmospheric data. Here we studied the atmospheric pressure observed at Trieste (Italy) from 1841 to 2018. We examined the available information on the characteristics and elevations of the barometers and on the data sampling. A basic data quality control was also applied. As a result, we built a homogeneous time series of daily mean pressures at mean sea level, from which a trend of 0.5 hPa per century was estimated.
To understand climate change, it is essential to analyse long time series of atmospheric data....
Altmetrics
Final-revised paper
Preprint