Using SEEPS with a TRMM-Derived Climatology to Assess Global NWP Precipitation Forecast Skill
| العنوان: | Using SEEPS with a TRMM-Derived Climatology to Assess Global NWP Precipitation Forecast Skill |
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| المؤلفون: | Sean Milton, Rachel North, Marion Mittermaier |
| المصدر: | Monthly Weather Review. 150:135-155 |
| بيانات النشر: | American Meteorological Society, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Atmospheric Science, Climatology, Quantitative precipitation forecast, Environmental science |
| الوصف: | Monitoring precipitation forecast skill in global numerical weather prediction (NWP) models is an important yet challenging task. Rain gauges are inhomogeneously distributed, providing no information over large swathes of land and the oceans. Satellite-based products, on the other hand, provide near-global coverage at a resolution of ∼10–25 km, but limitations on data quality (e.g., biases) must be accommodated. In this paper the stable equitable error in probability space (SEEPS) is computed using a precipitation climatology derived from the Tropical Rainfall Measuring Mission (TRMM) TMPA 3B42 V7 product and a gauge-based climatology and then applied to two global configurations of the Met Office Unified Model (UM). The representativeness and resolution effects on an aggregated SEEPS are explored by comparing the gauge scores, based on extracting the nearest model grid point, with those computed by upscaling the model values to the TRMM grid and extracting the TRMM grid point nearest the gauge location. The sampling effect is explored by comparing the aggregate SEEPS for this subset of ∼6000 locations (dictated by the number of gauges available globally) with all land points within the TRMM region of 50°N and 50°S. The forecast performance over the oceanic areas is compared with performance over land. While the SEEPS computed using the two different climatologies should never be expected to be identical, using the TRMM climatology provides a means of evaluating near-global precipitation using an internally consistent dataset in a climatologically consistent way. |
| تدمد: | 1520-0493 0027-0644 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d60306c80141f268cb4b3922f7d11ce2 https://doi.org/10.1175/mwr-d-20-0347.1 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........d60306c80141f268cb4b3922f7d11ce2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15200493 00270644 |
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