Mul­ti-Source Weath­er (MSWX) is an oper­a­tional, high-res­o­lu­tion (3‑hourly 0.1°), bias-cor­rect­ed mete­o­ro­log­i­cal prod­uct with glob­al cov­er­age from 1979 to 7 months from now.

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Avail­abil­i­ty of the four MSWX sub-prod­ucts (Past, NRT, Mid, and Long) and the respec­tive input prod­ucts (ERA5, GDAS, GEFS, and SEAS5) for the two-week peri­od cen­tered on today. The avail­abil­i­ty rep­re­sents the air tem­per­a­ture vari­able; the …

Super­charge your oper­a­tional mod­el­ing appli­ca­tions with the most accu­rate and up-to-date weath­er information. GloH2O lever­ages the lat­est devel­op­ments in machine learn­ing, remote sens­ing, and mod­el­ing to pro­duce the high­est qual­i­ty cli­mate and weath­er data prod­ucts.

2022年3月8日 · We present Multi-Source Weather (MSWX), a seamless global gridded near-surface meteorological product featuring a high 3-hourly 0.1° resolution, near-real-time updates (∼3-h latency), and bias-corrected medium-range (up to 10 days) and long-range (up to 7 months) forecast ensembles.

2021年7月3日 · Seasonal forecast (MSWX – Long) GloH2O, the organization behind MSWX, also provides a global precipitation product named Multi-Source Weighted-Ensemble Precipitation (MSWEP). This product uses rain gauge, satellite, and reanalysis data to obtain precipitation estimates globally.

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数据集提供格式为nc，其空间尺度为0.25°，时间尺度为月度数据，是最常用长序列的蒸散发数据。 该数据集提供两个版本的蒸散发数据 (v3.7a和v3.7b)，分别为1980~现在，2003~现在，其区别在于长时间序列的蒸散发数据主要基于多源再分析数据及卫星数据（MSWX气象数据， MSWEP降水数据， VOD植被数据），而短历时蒸散发数据基于卫星数据生产。 · 来源： gleam.eu/ · 引用格式：

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We present Multi-Source Weather (MSWX), a seamless global gridded near-surface meteorological product featuring a high 3-hourly 0.1 resolution, near-real-time updates (~3-h latency), and bias-corrected medium-range (up to 10 days) and long-range (up to 7 months) forecast ensembles.