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Feb 10, 2018 · This article evaluates the performance of six commonly used satellite-based precipitation products (IMERG, 3B42RT, PERSIANN, CCS, CMORPH and GSMaP), as well as ground-based radar products (Radar-only and Radar-lgc) in capturing the ARs precipitation rate and distribution.
- Yixin Wen, Yixin Wen, Yixin Wen, Ali Behrangi, Ali Behrangi, Haonan Chen, Haonan Chen, Bjorn Lambrig...
- 2018
Apr 23, 2018 · Given the potential for adverse human impacts of rapid transitions between dry and wet conditions in California (as occurred during 2016–2017), we formalize two precipitation whiplash metrics...
- Daniel L. Swain, Daniel L. Swain, Baird Langenbrunner, Baird Langenbrunner, J. David Neelin, Alex Ha...
- 2018
Sep 4, 2018 · We examine the ability of a state-of-the-art forecast system to capture the large-scale atmospheric circulation patterns that influence the track of storms, which bring a majority of winter precipitation to California.
- Deepti Singh, Deepti Singh, Mingfang Ting, Adam A. Scaife, Adam A. Scaife, Nicola Martin
- 21
- 2018
- 04 September 2018
Dec 1, 2017 · Joint research and model development across scales involving climate and numerical weather prediction models will be crucial to make progress in our understanding of what level of predictability can be expected and achieved for extreme events.
- Jana Sillmann, Thordis Thorarinsdottir, Noel Keenlyside, Nathalie Schaller, Lisa V. Alexander, Gabri...
- 2017
Sep 7, 2017 · In CAL, the ensemble average winter precipitation decreases in the south, especially over northern Baja California, Mexico, by as much as 10%, and increases over central-northern California by...
Aug 4, 2019 · To better explore possible reasons and favorable conditions for the California wildfire in October 2017, we examine the long-term trends of surface temperature, cloud liquid and ice water contents, and precipitation during the summer season (June–September) from 1979 to 2017.
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Feb 8, 2021 · Here, 1,535 California wildfires during 1984–2017 are systematically investigated. Based on two key meteorological factors—temperature and moisture anomalies—all wildfires are classified into four groups: hot-dry, hot-wet, cold-dry, cold-wet. Most (∼60%) wildfires occurred on hot-dry days.