Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2381-2020
© Author(s) 2020. 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-12-2381-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018
University of Saskatchewan Coldwater Lab, Canmore, Alberta, Canada
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Martyn P. Clark
University of Saskatchewan Coldwater Lab, Canmore, Alberta, Canada
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Andrew J. Newman
National Center for Atmospheric Research, Boulder, CO, USA
Andrew W. Wood
National Center for Atmospheric Research, Boulder, CO, USA
Simon Michael Papalexiou
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Department of Civil, Geological and Environmental Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Vincent Vionnet
Environmental Numerical Research Prediction, Environment and Climate Change Canada, Dorval, Quebec, Canada
Paul H. Whitfield
University of Saskatchewan Coldwater Lab, Canmore, Alberta, Canada
Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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- Hydrologic Model Sensitivity to Temporal Aggregation of Meteorological Forcing Data: A Case Study for the Contiguous United States A. Van Beusekom et al.
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- EEAR-Clim: a high-density observational dataset of daily precipitation and air temperature for the Extended European Alpine Region G. Bongiovanni et al.
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- Canadian Continental-Scale Hydrology under a Changing Climate: A Review T. Stadnyk & S. Déry
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- Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al.
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- Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau C. Zhang et al.
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45 citations as recorded by crossref.
- A comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand C. Kaprom et al.
- Probabilistic Evaluation of Drought in CMIP6 Simulations S. Papalexiou et al.
- Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China X. Li et al.
- GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning Q. He et al.
- Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin A. Tan et al.
- How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
- Quantifying population resistance to climatic variability: The invasive spotted lanternfly grape pest is buffered against temperature extremes in California S. Lewkiewicz et al.
- SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019 G. Tang et al.
- Selecting the optimal fine-scale historical climate data for assessing current and future hydrological conditions
- Unravelling the potential of global streamflow reanalysis in characterizing local flow regime T. Zhao et al.
- SC-PREC4SA: A serially complete daily precipitation dataset for South America A. Huerta et al.
- Exacerbated heat in large Canadian cities C. Rajulapati et al.
- Enhancing daily precipitation reconstruction: An improved version of the reddPrec R package A. Huerta et al.
- Improved historical reconstruction of daily flows and annual maxima in gauged and ungauged basins J. Martel et al.
- EMDNA: an Ensemble Meteorological Dataset for North America G. Tang et al.
- Employing higher density lower reliability weather data from the Global Historical Climatology Network monitors to generate serially complete weather data for watershed modelling R. Garna et al.
- Mexico's High Resolution Climate Database (MexHiResClimDB): a new daily high-resolution gridded climate dataset for Mexico covering 1951–2020 J. Carrera-Hernández
- Hydrologic Model Sensitivity to Temporal Aggregation of Meteorological Forcing Data: A Case Study for the Contiguous United States A. Van Beusekom et al.
- HRLT: a high-resolution (1 d, 1 km) and long-term (1961–2019) gridded dataset for surface temperature and precipitation across China R. Qin et al.
- An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates J. Hu et al.
- EASYMORE: A Python package to streamline the remapping of variables for Earth System models S. Gharari et al.
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al.
- Can GPM IMERG Capture Extreme Precipitation in North China Plain? D. Zhang et al.
- A knowledge-augmented deep fusion method for estimating near-surface air temperature F. Chen et al.
- On the Use of Reanalysis Data to Reconstruct Missing Observed Daily Temperatures in Europe over a Lengthy Period of Time K. Varotsos et al.
- Trends in seasonal precipitation extremes and associated temperatures along continental Chile M. Lagos-Zúñiga et al.
- Evaluating extreme precipitation and streamflow characteristics with novel bias adjusted APHRODITE precipitation gridded datasets: A case in Malwathu Oya river basin in Sri Lanka S. Vasanthakumar et al.
- An ERA‐5 Derived CONUS‐Wide High‐Resolution Precipitation Dataset Based on a Refined Parametric Statistical Downscaling Framework S. Emmanouil et al.
- Where Can IMERG Provide a Better Precipitation Estimate than Interpolated Gauge Data? S. Hartke & D. Wright
- Filling Gaps in Daily Precipitation Series Using Regression and Machine Learning in Inter-Andean Watersheds M. Portuguez-Maurtua et al.
- EEAR-Clim: a high-density observational dataset of daily precipitation and air temperature for the Extended European Alpine Region G. Bongiovanni et al.
- How GPM IMERG and GSMaP advance hydrological applications: A global perspective Z. Huang et al.
- The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia X. Lu et al.
- GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications G. Tang et al.
- Characterizing the responses of local floods to changing climate in three different hydroclimatic regions across the United States M. Shen & T. Chui
- PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia R. Aguayo et al.
- Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites S. Papalexiou et al.
- Dataset of daily near-surface air temperature in China from 1979 to 2018 S. Fang et al.
- Canadian Continental-Scale Hydrology under a Changing Climate: A Review T. Stadnyk & S. Déry
- Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia A. Chinasho et al.
- Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al.
- Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 G. Abouzied et al.
- Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau C. Zhang et al.
- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou
- FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America L. Arnal et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Station observations are critical for hydrological and meteorological studies, but they often contain missing values and have short measurement periods. This study developed a serially complete dataset for North America (SCDNA) from 1979 to 2018 for 27 276 precipitation and temperature stations. SCDNA is built on multiple data sources and infilling/reconstruction strategies to achieve high-quality estimates which can be used for a variety of applications.
Station observations are critical for hydrological and meteorological studies, but they often...
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