Results 81 to 90 of about 1,042 (180)

Hydrologic Evaluation of NWP-Adjusted CMORPH Estimates of Hurricane-Induced Precipitation in the Southern Appalachians

Journal of Hydrometeorology, 2016
AbstractSatellite-retrieved precipitation has the potential to support flood modeling in mountainous areas. However, to reach this potential satellite estimates need to be corrected for the severe underestimation exhibited in orography-induced heavy precipitation events (HPEs).
Xinxuan Zhang, Emmanouil N. Anagnostou, Humberto Vergara   +2 more
openaire   +1 more source

An Assessment of Extreme Precipitation Trends in the Missouri River Basin: Insights From Three Gridded Precipitation Data Sets and Climate Indices

International Journal of Climatology, Volume 46, Issue 1, January 2026.
The current study shows that extreme precipitation is playing a larger role in the hydroclimate of the Missouri River Basin. This study provides information on the shifts in extreme precipitation in the Missouri River Basin. Multi‐day heavy precipitation events have also been becoming more intense through the 1981 to 2022 period.
Chanchal Gupta, Rezaul Mahmood, Paul Flanagan, Tirthankar Roy, Michael Hayes, Liang Chen   +5 more
wiley   +1 more source

Correlação entre dados pluviométricos de superfície e satélites para estudos climatológicos

Geosul, 2017
Este trabalho tem como objetivo apresentar novas oportunidades na obtenção de dados pluviométricos diários, mensais e anuais, propondo como alternativa o uso de dados obtidos através de satélites como CHIRPS, CMORPH e TRMM.
Francisco Jablinski Castelhano, Gabriela Marques Pinheiro, Wilson Flávio Feltrim Roseghini   +2 more
doaj   +1 more source

Comparative Evaluation of Gridded Precipitation Datasets in Capturing Hydrological Extremes in a Mesoscale Heterogeneous Catchment in Austria

Hydrological Processes, Volume 39, Issue 12, December 2025.
Although all precipitation products performed relatively poor in representing extreme precipitation events, their performance varied across elevations. Furthermore, SPARTACUS v2.1 and IMERG‐F v07 generated streamflow simulations that broadly align with observations. However, CHIRPS v2.0 and ERA5‐Land underperformed.
Zryab Babker, Mohammed Basheer, Tim G. Reichenau, Jürgen Komma, Oscar M. Baez‐Villanueva, Morteza Zargar, Karl Schneider   +6 more
wiley   +1 more source

Accuracy Assessment of CMORPH and GPCP Satellite Precipitation Products Across Iran

Climate
Reliable precipitation data are fundamental for climate and hydrological research, especially in regions with sparse ground-based observations. This study evaluates and compares the accuracy of two satellite-based precipitation products—CMORPH and GPCP—across daily, monthly, and annual scales over Iran.
Mohammad Ramyar Yousefnezhad, Manuchehr Farajzadeh, Yousef Ghavidel Rahimi   +2 more
openaire   +1 more source

A Hybrid Four‐Dimensional Variational Data Assimilation System for the Model for Prediction Across Scales (MPAS‐Atmosphere): Leveraging the Joint Effort for Data Assimilation Integration (JEDI)

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 12, December 2025.
Abstract A global Four‐Dimensional Ensemble Variational (4DEnVar) data assimilation system for the Atmospheric component of the Model for Prediction Across Scales (MPAS‐A) is presented that uses the Joint Effort for Data assimilation Integration (JEDI).
R. G. Nystrom, C. Snyder, Z. Liu, B. J. Jung, J. Ban, I. H. Banos   +5 more
wiley   +1 more source

Estimasi curah hujan berdasarkan data CMORPH (CPC MORPHing Technique) wilayah Riau [PDF]

, 2011
Rainfall is the most important climate element in Indonesia which has a very large variation compared with other climate elements. High variability will lead to limited rainfall data.
Kurniawati, Tri Yuli
core  

Evaluating the Performance and Applicability of Satellite Precipitation Products over the Rio Grande–San Juan Basin in Northeast Mexico

Atmosphere
Accurate observation of precipitation data is crucial for hydrometeorological applications, requiring temporal and spatial precision. Satellite precipitation products offer a promising solution for obtaining precipitation estimates, facilitating long ...
Dariela A. Vázquez-Rodríguez, Víctor H. Guerra-Cobián, José L. Bruster-Flores, Carlos R. Fonseca, Fabiola D. Yépez-Rincón   +4 more
doaj   +1 more source

Towards Accurate Flood Forecasting: Integrating Satellite Data, Hydrological Modeling, and Deep Learning

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, Hossein Salehi, Alireza Razeghi Haghighi, Mojtaba Sadeghi, Alireza Faridhosseini   +4 more
wiley   +1 more source

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, Ross C. Blamey, Chris J. C. Reason   +2 more
wiley   +1 more source