Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Pierre‐Emmanuel Kirstetter"'
Autor:
Ayano Ueki, Michihiro S. Teshiba, David Schvartzman, Pierre-Emmanuel Kirstetter, Robert D. Palmer, Kohei Osa, Tian-You Yu, Boonleng Cheong, David J. Bodine
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2630 (2024)
Winter continues to witness numerous automobile accidents attributed to graupel and hail precipitation in Japan. Detecting these weather phenomena using radar technology holds promise for reducing the impact of such accidents and improving road maint
Externí odkaz:
https://doaj.org/article/1f7d17814cc44b6285a98be1ce7c7d7b
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 22, Pp n/a-n/a (2023)
Abstract Understanding the nature and origin of errors in satellite precipitation products is important for applications and product improvement. Here we propose a new error decomposition scheme incorporating precipitation event (continuous rainy per
Externí odkaz:
https://doaj.org/article/e8333695afea4f93ae6a9120137f1bff
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 953 (2021)
This research assesses the changes in total water storage (TWS) during the twentieth century and future projections in the Nile River Basin (NRB) via TWSA (TWS anomalies) records from GRACE (Gravity Recovery and Climate Experiment), GRACE-FO (Follow-
Externí odkaz:
https://doaj.org/article/5dd3a029030a4f539f2987b0efd8b853
Autor:
Katharina Lengfeld, Pierre-Emmanuel Kirstetter, Hayley J Fowler, Jingjing Yu, Andreas Becker, Zachary Flamig, Jonathan Gourley
Publikováno v:
Environmental Research Letters, Vol 15, Iss 8, p 085003 (2020)
Extreme precipitation is one of the most devastating forms of atmospheric phenomenon, causing severe damage worldwide, and is likely to intensify in strength and occurrence in a warming climate. This contribution gives an overview of the potential an
Externí odkaz:
https://doaj.org/article/4664a6cea9954065be0e0ceaee1c24d5
Publikováno v:
Remote Sensing, Vol 8, Iss 11, p 904 (2016)
Snow contributes to regional and global water budgets, and is of critical importance to water resources management and our society. Along with advancement in remote sensing tools and techniques to retrieve snowfall, verification and refinement of the
Externí odkaz:
https://doaj.org/article/4e2df3b2557a406c9f3de88c9f2aabf6
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:3406-3427
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a64e4a482fc19fc38cef03b0b6a45a2
https://doi.org/10.1002/qj.4368
https://doi.org/10.1002/qj.4368
Publikováno v:
Journal of Hydrometeorology. 23:1297-1314
To understand and manage water systems under a changing climate and meet an increasing demand for water, a quantitative understanding of precipitation is most important in coastal regions. The capabilities of the Integrated Multi-satellitE Retrievals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317d722ded326bbd07f257d2cb1548f7
https://doi.org/10.1175/jhm-d-21-0234.1
https://doi.org/10.1175/jhm-d-21-0234.1
Assessing model forecasts using remote sensing data is often and generally done by confronting past simulations to observations. We developed a novel probabilistic comparison method that evaluates tropical atmospheric relative humidity profiles simul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43fc73e429753cb140bdfedd50f9f0d4
https://doi.org/10.5194/egusphere-egu23-13778
https://doi.org/10.5194/egusphere-egu23-13778
This study introduces a new machine learning-based probabilistic quantitative precipitation estimate (PQPE) retrieval that uses observations from the GOES-16 Advanced Baseline Imager (ABI) across the CONUS at 5 min temporal resolution and ~2 km spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6883c26770bd11bb4197a6f061500d16
https://doi.org/10.5194/egusphere-egu23-2945
https://doi.org/10.5194/egusphere-egu23-2945
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d9249bcd22dd0e9f87043475727180
https://doi.org/10.1109/lgrs.2022.3212644
https://doi.org/10.1109/lgrs.2022.3212644