Results 51 to 60 of about 971 (195)
, 2016 Keterbatasan data observasi seperti data tidak cukup panjang, tidak lengkap/kosong, dan sebaran stasiun yang kurang merata menyebabkan analisis dan prediksi hujan sulit dilakukan.
Fitria, Mega
core +1 more source
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 +3 more
wiley +1 more source
Remote Sensing, 2020 Satellite-based precipitation estimates with high quality and spatial-temporal resolutions play a vital role in forcing global or regional meteorological, hydrological, and agricultural models, which are especially useful over large poorly gauged regions.
Zhen Gao +5 more
doaj +1 more source
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 +8 more
wiley +1 more source
Remote Sensing, 2021 This study evaluated and intercompared seven near-real-time (NRT) versions of satellite-based precipitation products (SPPs) with latencies of less than one day, including GSMaP-NRT, GSMaP-Gauge-NRT, GSMaP-NOW, IMERG-Early, IMERG-Late, TMPA 3B42RT, and ...
Yanhong Dou +4 more
doaj +1 more source
Evaluation of GSMaP Precipitation Estimates over the Contiguous United States
Journal of Hydrometeorology, 2010 Abstract Precipitation estimates from the Global Satellite Mapping of Precipitation (GSMaP) project are evaluated over the contiguous United States (CONUS) for the period of 2005–06. GSMaP combines precipitation retrievals from the Tropical Rainfall Measuring Mission satellite and other polar-orbiting satellites, and interpolates them ...
Yudong Tian +4 more
openaire +1 more source
Assessing Dominant Uncertainties in Future Precipitation Projections for a Hurricane‐Prone Region
Earth's Future, Volume 14, Issue 7, July 2026.Abstract Accurate projection of future precipitation remains challenging due to uncertainties in reference data sets, bias correction and global climate models (GCMs). Here, we evaluated these uncertainties across 13 major cities of the U.S. Gulf Coast, a hurricane‐prone region, under 192 historical and future scenarios.
Samiul Kaiser +6 more
wiley +1 more source
Tropical Cyclone Intensity Change and Axisymmetricity Deduced from GSMaP
Monthly Weather Review, 2017 The relationship of tropical cyclone (TC) future intensity change to current intensity and current axisymmetricity deduced from hourly Global Satellite Mapping of Precipitation (GSMaP) data was investigated. Axisymmetricity is a metric that correlates positively with the magnitude of the axisymmetric component of the rainfall rate and negatively with ...
Udai Shimada +2 more
openaire +1 more source
Earth's Future, Volume 14, Issue 7, July 2026.Abstract Tropical cities are frequently exposed to short and intense rainfall that poses a significant flood risk to rapidly growing populations, making it essential to predict how these extremes will evolve under climate change. However, local projections remain limited by the lack of high‐resolution climate simulations and long‐term meteorological ...
Jovan Blagojević +5 more
wiley +1 more source
Bringing human early embryo development to clinical interpretation: HESTA as an evolving reference
Clinical and Translational Medicine, Volume 16, Issue 9, September 2026.
Yuejiao Li +6 more
wiley +1 more source