Articles | Volume 11, issue 4
Earth Syst. Sci. Data, 11, 1711–1744, 2019
https://doi.org/10.5194/essd-11-1711-2019
Earth Syst. Sci. Data, 11, 1711–1744, 2019
https://doi.org/10.5194/essd-11-1711-2019

  21 Nov 2019

21 Nov 2019

WHU-SGCC: a novel approach for blending daily satellite (CHIRP) and precipitation observations over the Jinsha River basin

Gaoyun Shen et al.

Related authors

EML BASED URBAN FIRE INCIDENT MODELING METHOD AND PROTOTYPE
A. He, W. Wang, W. Du, C. Wang, and N. Chen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 617–624, https://doi.org/10.5194/isprs-annals-V-3-2020-617-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-617-2020, 2020
GEOSPATIAL SENSOR WEB ADAPTOR FOR INTEGRATING DIVERSE INTERNET OF THINGS PROTOCOLS WITHIN SMART CITY
D. Chen, X. Zhang, N. Chen, J. Yang, and J. Gong
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 115–121, https://doi.org/10.5194/isprs-annals-V-4-2020-115-2020,https://doi.org/10.5194/isprs-annals-V-4-2020-115-2020, 2020

Related subject area

Atmosphere – Meteorology
Winter atmospheric boundary layer observations over sea ice in the coastal zone of the Bay of Bothnia (Baltic Sea)
Marta Wenta, David Brus, Konstantinos Doulgeris, Ville Vakkari, and Agnieszka Herman
Earth Syst. Sci. Data, 13, 33–42, https://doi.org/10.5194/essd-13-33-2021,https://doi.org/10.5194/essd-13-33-2021, 2021
Short summary
Meteorological observations in tall masts for the mapping of atmospheric flow in Norwegian fjords
Birgitte Rugaard Furevik, Hálfdán Ágústsson, Anette Lauen Borg, Zakari Midjiyawa, Finn Nyhammer, and Magne Gausen
Earth Syst. Sci. Data, 12, 3621–3640, https://doi.org/10.5194/essd-12-3621-2020,https://doi.org/10.5194/essd-12-3621-2020, 2020
Short summary
Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview
Gijs de Boer, Adam Houston, Jamey Jacob, Phillip B. Chilson, Suzanne W. Smith, Brian Argrow, Dale Lawrence, Jack Elston, David Brus, Osku Kemppinen, Petra Klein, Julie K. Lundquist, Sean Waugh, Sean C. C. Bailey, Amy Frazier, Michael P. Sama, Christopher Crick, David Schmale III, James Pinto, Elizabeth A. Pillar-Little, Victoria Natalie, and Anders Jensen
Earth Syst. Sci. Data, 12, 3357–3366, https://doi.org/10.5194/essd-12-3357-2020,https://doi.org/10.5194/essd-12-3357-2020, 2020
Short summary
High-resolution global atmospheric moisture connections from evaporation to precipitation
Obbe A. Tuinenburg, Jolanda J. E. Theeuwen, and Arie Staal
Earth Syst. Sci. Data, 12, 3177–3188, https://doi.org/10.5194/essd-12-3177-2020,https://doi.org/10.5194/essd-12-3177-2020, 2020
Short summary
BAYWRF: a high-resolution present-day climatological atmospheric dataset for Bavaria
Emily Collier and Thomas Mölg
Earth Syst. Sci. Data, 12, 3097–3112, https://doi.org/10.5194/essd-12-3097-2020,https://doi.org/10.5194/essd-12-3097-2020, 2020
Short summary

Cited articles

AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E.: Evaluation of satellite-retrieved extreme precipitation rates across the central United States, J. Geophys. Res.-Atmos., 116, D02115, https://doi.org/10.1029/2010jd014741, 2011. 
Agutu, N. O., Awange, J. L., Zerihun, A., Ndehedehe, C. E., Kuhn, M., and Fukuda, Y.: Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa, Remote Sens. Environ., 194, 287–302, https://doi.org/10.1016/j.rse.2017.03.041, 2017. 
Ali, H. and Mishra, V.: Contrasting response of rainfall extremes to increase in surface air and dewpoint temperatures at urban locations in India, Sci. Rep.-UK, 7, 1228, https://doi.org/10.1038/s41598-017-01306-1, 2017. 
Anders, A. M., Roe, G. H., Hallet, B., Montgomery, D. R., Finnegan, N. J., and Putkonen, J.: Spatial patterns of precipitation and topography in the Himalaya, Tectonics, Climate, and Landscape Evolution, 398, 39–53, https://doi.org/10.1130/2006.2398(03), 2006. 
Aonashi, K., Awaka, J., Hirose, M., Kozu, T., Kubota, T., Liu, G., Shige, S., Kida, S., Seto, S., Takahashi, N., and Takayabu, Y. N.: GSMaP Passive Microwave Precipitation Retrieval Algorithm: Algorithm Description and Validation, J. Meteorol. Soc. Jpn., 87, 119–136, https://doi.org/10.2151/jmsj.87A.119, 2009. 
Download
Short summary
The development of effective methods for high-accuracy precipitation estimates over complex terrain and on a daily scale is important for mountainous hydrological applications. This study offers a novel approach called WHU-SGCC by blending rain gauge and satellite data to estimate daily precipitation at 0.05° resolution over the Jinsha River basin, the complicated mountainous terrain with sparse rain gauge data, considering the spatial correlation and historical precipitation characteristics.