Results 111 to 120 of about 3,359 (227)
Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.ABSTRACT In hydrologic modeling, forecasting peak floods is a complex and high‐priority task, particularly in regions with limited in situ observations. This research investigates the potential of utilizing satellite‐based precipitation products with near real‐time updates (NRT‐SbPP), together with deep learning, to improve peak flow estimation and ...
Saeideh Pourentezari +4 more
wiley +1 more source
Revista Brasileira de Geografia Física, 2013 A Técnica CMORPH é uma das fontes atuais de dados de precipitação mais completas, onde, seu uso no meio científico é cada vez maior. Assim, nesse trabalho buscou-se avaliar as observações do CMORPH em comparação com estações meteorológicas do Instituto Nacional de Meteorologia (INMET) em diferentes regiões do Brasil, observou-se que as informações do ...
Giordani Rafael Conceição Sodré +1 more
openaire +1 more source
APPLICATION OF CMORPH DATA FOR FOREST/LAND FIRE RISK PREDICTION MODEL IN CENTRAL KALIMANTAN
International Journal of Remote Sensing and Earth Sciences (IJReSES), 2017 Central Kalimantan Province is a region with high level of forest/land fire, especially during dry season. Forest/land fire is a dangerous ecosystem destroyer factor, so it needs to be anticipated and prevented as early as possible. CMORPH rainfall data have good potential to overcome the limitations of rainfall data observation. This research is aimed
Indah Prasasti +2 more
openaire +2 more sources
La Niña Impacts on Southeastern African Climate: The Influence of Event Duration
International Journal of Climatology, Volume 45, Issue 14, 30 November 2025.ABSTRACT The multiyear La Niña event of 2020–2023, which brought with it several climate disasters across the globe, sparked both mainstream and scientific interest in La Niña events, which typically have received less attention than El Niño. In southern Africa, there is a general expectation in the scientific community and among user groups that La ...
Wanjiru Thoithi +2 more
wiley +1 more source
Reconciling spatial and temporal soil moisture effects on afternoon rainfall [PDF]
, 2015 Soil moisture impacts on precipitation have been strongly debated. Recent observational evidence of afternoon rain falling preferentially over land parcels that are drier than the surrounding areas (negative spatial effect), contrasts with previous ...
Guillod, Benoit P +4 more
core +2 more sources
, 2020 This paper examines the diurnal cycle of convection (DCC) over Lake Titicaca Basin (LTb) during summertime months based on the high spatial resolution (8 x 8 km2) and hourly temporal resolution, estimates of Climate Prediction Center Morphing technique ...
Eleazar Chuchón Angulo +1 more
semanticscholar +1 more source
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 21, 16 November 2025.Abstract Cirrus clouds strongly influence Earth's radiation balance, yet their optical properties and formation pathways add uncertainty to climate models. Satellites offer a global view of cirrus but have key limitations: passive sensors struggle to detect thin layers, and active instruments in polar orbits miss the diurnal cycle. Long‐term records of
Luan P. Cordeiro +2 more
wiley +1 more source
Temporal and spatial assessment of four satellite rainfall estimates over French Guiana and North Brazil [PDF]
, 2015 Satellite precipitation products are a means of estimating rainfall, particularly in areas that are sparsely equipped with rain gauges. The Guiana Shield is a region vulnerable to high water episodes.
Becker, M. +3 more
core
LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration [PDF]
, 2009 The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated using microwave-based rainfall ...
Bellerby, Tim +2 more
core +3 more sources
Subseasonal Prediction of the Rainy Season and the Midsummer Drought in Mesoamerica
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 20, 28 October 2025.Abstract The seasonal cycle of rainfall in Mesoamerica exhibits complex features such as the Midsummer Drought (MSD) that greatly influence local agriculture and motivate diagnosing the potential of its subseasonal prediction. This study evaluates state‐of‐the‐art S2S forecast systems for their representation of the rainy season through their ...
J. L. García‐Franco +4 more
wiley +1 more source