Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Chris Kidd"'
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 2992 (2022)
This paper describes the initial results of precipitation estimates from the Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) Millimeter-wave Sounder (TMS) using the Precipitation R
Externí odkaz:
https://doaj.org/article/615c7ee3c8c14112b0af5dd2132706de
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1708 (2021)
The accurate representation of precipitation across the Earth’s surface is crucial to furthering our knowledge and understanding of the Earth System and its component processes. Precipitation poses a number of challenges, particularly due to the va
Externí odkaz:
https://doaj.org/article/1e09bc5102724bf7b7f277a18ee9e534
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 947 (2021)
The retrieval of precipitation (snowfall and rainfall) from satellite sensors on a global basis is essential in aiding our knowledge and understanding of the Earth System and for many societal applications. Measurements from surface-based instruments
Externí odkaz:
https://doaj.org/article/28ae7c6ef51747aba12041773cf66172
Publikováno v:
Weather. 77:417-419
A major challenge for measuring precipitation from space is the need to properly capture the spatial and temporal variability of precipitation. This requires that all available observations from precipitation-capable sensors are exploited. Passive mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f0934d4e81b4263056e055eecb076aa
https://doi.org/10.5194/egusphere-egu23-8700
https://doi.org/10.5194/egusphere-egu23-8700
Autor:
Yalei You, George Huffman, Christa Peters-Lidard, Joseph Munchak, Jackson Tan, Scott Braun, Chris Kidd, Sarah Ringerud, William Blackwell, John Xun Yang, Eric Nelkin, Jun Dong
Previous studies showed that conical scanning radiometers greatly outperform cross-track scanning radiometers for precipitation retrieval over ocean. This study demonstrates a novel approach to improve precipitation rates at the cross-track scanning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a74cf28a7dc47cc49147c92b57a5f1
https://doi.org/10.5194/egusphere-egu23-17303
https://doi.org/10.5194/egusphere-egu23-17303
Autor:
Linda Bogerd, Kirien Whan, Chris Kidd, Christian Kummerow, Veljko Petkovic, Hidde Leijnse, Aart Overeem, Remko Uijlenhoet
Over the past decades, spaceborne radiometers have proven to be valuable input to realize a global coverage of precipitation estimates. However, retrieving accurate shallow precipitation estimates from radiometers remains challenging. The signal rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53220c49be64e3d9d9218d6ab39c1191
https://doi.org/10.5194/egusphere-egu23-11506
https://doi.org/10.5194/egusphere-egu23-11506
Publikováno v:
Bulletin of the American Meteorological Society. 102:E1844-E1861
To address the need to map precipitation on a global scale, a collection of satellites carrying passive microwave (PMW) radiometers has grown over the last 20 years to form a constellation of about 10–12 sensors at any one time. Over the same perio
Autor:
Chris Kidd, Toshi Matsui
The estimation of precipitation from satellite sensors is crucial for measuring precipitation at the global scale. Due to the variability of precipitation, both temporally and spatially, it is necessary to exploit observations from both passive micro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6cff6019394c04aab78d2ad64ca3918
https://doi.org/10.5194/egusphere-egu22-6660
https://doi.org/10.5194/egusphere-egu22-6660
Autor:
Christa D. Peters-Lidard, Rachael Kroodsma, Yalei You, Wesley Berg, Jackson Tan, Veljko Petkovic, Chris Kidd
Publikováno v:
Journal of Hydrometeorology. 21:705-728
This study assesses the level-2 precipitation estimates from 10 radiometers relative to Global Precipitation Measurement (GPM) Ku-band precipitation radar (KuPR) in two parts. First, nine sensors—four imagers [Advanced Microwave Scanning Radiometer