Results 81 to 90 of about 120,670 (167)

Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe

Meteorological Applications, Volume 32, Issue 2, March/April 2025.
This study presents a crop‐centric approach to analysing dry spell impacts, using the Water Requirement Satisfaction Index (WRSI). Leveraging this metric, it further identifies and characterizes large‐scale agrometeorologically relevant dry spells (LARDS) in Zimbabwe. The study's findings demonstrate that meteorological guidance enhances yield and link
Gibbon I. T. Masukwedza, Victoria L. Boult, Melissa Lazenby, Martin C. Todd   +3 more
wiley   +1 more source

A Cluster‐Based Data Assimilation Approach to Generate New Daily Gridded Time Series Precipitation Data in the Himalayan River Basins

Water Resources Research, Volume 61, Issue 1, January 2025.
Abstract Recent studies show variations in precipitation‐gridded data set accuracy with changing geographical parameters. Ensemble precipitation products, combining diverse data sets, offer global‐scale effectiveness, but applying them to regional studies, particularly in small to medium‐sized sub‐basins, presents challenges in addressing precipitation
Japjeet Singh, Vishal Singh, Chandra Shekhar Prasad Ojha   +2 more
wiley   +1 more source

Synoptic Patterns and Effects of Topography on Occurrences of Heavy Rainfall in Northwest Vietnam

Advances in Meteorology, Volume 2025, Issue 1, 2025.
Accurate forecasting of local heavy rainfall distribution over Northwest Vietnam is challenging due to the regions’s complex rainfall processes and topography. In this study, effect of the Hoang Lien Son (HLS) Mountain range on synoptic‐dynamic processes associated with the heavy rainfall were analyzed to quantify the relationship with the local ...
Tuan Bui-Minh, Long Trinh-Tuan, Thao Hoang-Phuong, Ngoc Pham-Bao, Thac Tran-Khac, Thanh Nguyen-Tien, Hue Vu-Thi-Minh, Toan Trinh, Francisco Molero   +8 more
wiley   +1 more source

Statistical assessment of IMERG-FRV6, MSWEP, TRMM-3B43V7, and PERSIANN-CDR satellite precipitation in monthly, seasonal, and annual time-scale over Iran

, 2023
Abstract Knowing the spatial and temporal distribution of precipitation around the world is beneficial for improving climate knowledge and enhancing weather and climate forecasting models. While determining the distribution of precipitation is complicated, many satellite precipitation products (SSPs) have been developed in the past few decades ...
Nazanin Nozarpour, Emad Mahjoobi, Saeed Golian   +2 more
openaire   +1 more source

Evaluación de la aplicabilidad del producto PERSIANN-CDR para la caracterización de sequía meteorológica en la cuenca del lago Titicaca [PDF]

La cuenca del lago Titicaca (CLT) experimenta un fenómeno de sequía recurrente. Sin embargo, es necesario evaluar la estimación de la precipitación a partir de información de detección remota utilizando redes neuronales artificiales: registro de datos ...
Juli Candia, Raul
core  

Challenges in Producing a Near-Global, High-Resolution Precipitation Climate Record Using Satellite-Based Data: The Case Study of PERSIANN CCS-CDR [PDF]

PERSIANN CCS-CDR is an almost global precipitation dataset with high spatial and temporal resolutions and a long period of record. However, producing such a dataset proved to be a challenging task, mostly due to the unavailability of a suitable dataset ...
BOLBOLI ZADEH, MOHAMMAD
core  

Bias Correction Methods Applied to Satellite Rainfall Products over the Western Part of Saudi Arabia

Atmosphere
Accurate rainfall data with good spatial–temporal distribution remain a challenge worldwide, particularly in arid regions such as western Saudi Arabia, where variability critically influences water resource management and flood mitigation.
Ibrahim H. Elsebaie, Atef Q. Kawara, Raied Alharbi, Ali O. Alnahit   +3 more
doaj   +1 more source

Evaluation of PERSIANN-CDR Product in Reproducing Observed Seasonal Mean and Extreme Precipitation Trends

, 2017
The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks for Climate Data Record (PERSIANN-CDR) reanalysis product provides near-global daily precipitation data record for the last 34 years at 0.25° spatial ...
Lee, Jaechoul, (Mentor), Paquin, Maria
core  

Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin. [PDF]

Sci Rep, 2022
Ji H, Peng D, Gu Y, Liang Y, Luo X.
europepmc   +1 more source

MODELAGEM HIDROLÓGICA UTILIZANDO OS DADOS DE PRECIPITAÇÃO PERSIANN-CDR E O MODELO SWAT PARA A BACIA DO RIO PIANCÓ - PB [PDF]

, 2019
Precipitation is one of the most important variables in hydrological modeling and in the study of the hydrological cycle. Due to the relative scarcity of rainfall data in certain periods and regions for a number of reasons, the use of other ...
FRADE, TATIANE GOMES
core   +1 more source