Results 61 to 70 of about 1,038 (200)

Boundary‐Aware Physical Constraints Refine Satellite Precipitation Occurrence Over the Qinghai‐Tibet Plateau

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Over complex terrain, hourly precipitation occurrence estimates are often distorted by weak, persistent, and mistimed wet hours that are poorly constrained by independent time‐step classification. Using 1,232 hourly gauge records over the Qinghai‐Tibet Plateau (QTP), we develop a boundary‐aware physical‐constraint framework that learns ...
Chun Zhou, Li Zhou, Luca Brocca, Yinan Guo, Xiaojun Guo, Jiajia Yue, Keying Liu, Ming Li, Haowen Li, Chuanjie Yan   +9 more
wiley   +1 more source

One to Three‐Day Lead Streamflow Forecast Using Multi‐Head Attention With Long Short‐Term Memory in Reservoir Regulated Catchment

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate, timely, and actionable flood forecasting has potential for reducing flood risk but remains challenging due to uncertainties in meteorological forecasts, poor hydrological observations, and increasing forecast errors with lead time. While Long Short‐Term Memory (LSTM) models have surpassed conventional hydrological forecasting models,
Hiren Solanki, A. S. Aravinthakshan, Sayuj Gupta, Vimal Mishra   +3 more
wiley   +1 more source

Evaluating GSMaP for Effective Rainfall Estimation in the Bengawan Solo Hulu Watershed Region

Jurnal Inovasi Pendidikan dan Sains
Effective rainfall is an important parameter in water resource management because it represents the portion of rainfall that can be reliably utilized to meet crop water requirements.
Dicky Lutfi Makhfudzi, Cahyono Ikhsan, Rintis Hadiani   +2 more
doaj   +1 more source

Evaluation of TRMM/GPM Blended Daily Products over Brazil

Remote Sensing, 2018
The precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (named TMPA and TMPA-RT for the near real-time version) are widely used both in research and in operational forecasting.
José Roberto Rozante, Daniel A. Vila, Júlio Barboza Chiquetto, Alex de A. Fernandes, Débora Souza Alvim   +4 more
doaj   +1 more source

GSMap: 2D Gaussians for Online HD Mapping

Preprint
Zeng, Zhenxuan, Wang, Lingxuan, Yang, Sheng, He, Yanan, Chen, Mingxia, Suo, Wei, Wang, Peng   +6 more
openaire   +2 more sources

Mesonet‐Based Ground Validation of IMERG‐V07 and GSMaP‐V08 Over a Semi‐Arid Dryland Ecosystem in West Texas

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Climate change has caused highly uncertain precipitation regimes and associated hydrometeorological hazards over global drylands. Accurate precipitation measurements are vital for monitoring dryland ecohydrology. Satellite precipitation products (SPPs), including the Integrated Multi‐satellitE Retrievals for GPM (Global Precipitation ...
Diya Das, Sandip Pal, Eric C. Bruning, Brian Hirth   +3 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, Volume 13, Issue 40, 17 July 2026.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Benefits of the successive GPM based satellite precipitation estimates IMERG-V03,-V04,-V05 and GSMaP-V06,-V07 over diverse geomorphic and meteorological regions of Pakistan [PDF]

, 2018
Launched in 2014, the Global Precipitation Measurement (GPM) mission aimed at ensuring the continuity with the Tropical Rainfall Measuring Mission (TRMM) launched in 1997 that has provided unprecedented accuracy in Satellite Precipitation Estimates (SPEs)
Uagoda, Rogério, Frédéric Satgé, Akhter, Gulraiz, Rogério Uagoda, Martinez-Carvajal, H., Hussain, Yawar, Hussain, Babar, Yawar Hussain, Martínez Carvajal, Hernán Eduardo, Hernan Martinez-Carvajal, Uagoda, R., Gulraiz Akhter, Bonnet, Marie-Paule, Marie-Paule Bonnet, Hussain, Y., Satgé, Frédéric, Babar M. Hussain, Martinez-Carvajal, Hernan, Babar M. Hussain, Uagoda, Rogério Elias Soares, Satge, F., Hussain, Babar M., Hussain, B. M., Akhter, G.   +23 more
core   +1 more source

Ensemble‐Based Uncertainty Quantification Can Improve Large‐Scale Precipitation Data for Hydrologic Prediction

Hydrological Processes, Volume 40, Issue 7, July 2026.
ABSTRACT Substantial uncertainties have hindered uptake of large‐scale precipitation data from satellites, reanalysis, and ‘merged’ datasets in hydrologic applications. Whilst this problem could be addressed by quantifying uncertainty and propagating it through hydrologic models, there is little consensus on what form of uncertainty information is ...
Daniel B. Wright, Yagmur Derin, Kaidi Peng, Viviana Maggioni   +3 more
wiley   +1 more source

Quantitative Evaluation and Error Analysis of GPM DPR Rainfall Products (Version 07) Over Yangtze‐and‐Huai River Basin in China

Earth and Space Science, Volume 13, Issue 7, July 2026.
Abstract The Dual‐Frequency Precipitation Radar (DPR) aboard the Global Precipitation Measurement (GPM) core satellite has advanced global precipitation monitoring with consistent long‐term data. This study evaluates the rainfall rate from GPM DPR version 07 Level‐2 products over the Yangtze‐and‐Huai River Basin with rain gauge observations.
Zelin Wang, Xiong Hu, Jing Sun, Weihua Ai, Zitong Chen, Liang Leng, Shensen Hu, Junqi Qiao, Xianbin Zhao   +8 more
wiley   +1 more source