Evaluation of quantitative precipitation forecasts over southern South America
This paper examines current status of Quantitative Precipitation Forecasts (QPFs) over southern South America and particularly over Argentina, of 36 and 60-hour forecasts corresponding to the LAHM/CIMA regional model and the NCEP global medium-range forecast model (MRF) during a three-month period....
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2003
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| LEADER | 08118caa a22006857a 4500 | ||
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| 001 | PAPER-21512 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205259.0 | ||
| 008 | 190411s2003 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-0141726755 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Saulo, A.C. | |
| 245 | 1 | 0 | |a Evaluation of quantitative precipitation forecasts over southern South America |
| 260 | |c 2003 | ||
| 270 | 1 | 0 | |m Saulo, A.C.; CIMA 2do piso, Ciudad Universitaria, Pabellón 11, Buenos Aires 1428, Argentina; email: saulo@at.fccn.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 520 | 3 | |a This paper examines current status of Quantitative Precipitation Forecasts (QPFs) over southern South America and particularly over Argentina, of 36 and 60-hour forecasts corresponding to the LAHM/CIMA regional model and the NCEP global medium-range forecast model (MRF) during a three-month period. Two indexes of skill for QPFs, the Equitable Threat Score (ETS) and the bias score, have been calculated over two subregions. Better ETS were obtained with MRF for predicting areas with precipitation intensities ranging from weak to moderate, while LAHM/CIMA performs better for higher amounts of precipitation. Both models show a tendency to a loss of accuracy as precipitation increases. Bias scores are relatively small for both models, except at larger rain limits, where LAHM/CIMA tends to overestimate the areas and MRF to underestimate. Limitations include diversity of precipitation regimes over the larger domain, and the scarcity of observations. While the former is common to similar studies, the latter becomes critical over southern South America and could affect the representativeness of interpolated fields. Generating a gridded dataset from an uneven (and coarse) observational network tends to spread precipitation leading to spurious rain in weak precipitation areas, and unreliable scores. The scores varied significantly when they were calculated against individual station observations, giving a more realistic depiction of model performance. These findings suggest that measures of skill should be applied and interpreted with caution, since different forecast verification strategies may lead to contradictory results. |l eng | |
| 593 | |a CIMA (CONICET/UBA), Depto. Cie. Atmosfera los Oceanos, Facultad Ciencias Exactas Naturales, Buenos Aires, Argentina | ||
| 593 | |a Depto. Cie. Atmosfera los Oceanos, Facultad Ciencias Exactas Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a ERROR ANALYSIS |
| 690 | 1 | 0 | |a NUMERICAL MODEL |
| 690 | 1 | 0 | |a PERFORMANCE ASSESSMENT |
| 690 | 1 | 0 | |a PRECIPITATION (CLIMATOLOGY) |
| 690 | 1 | 0 | |a WEATHER FORECASTING |
| 651 | 4 | |a ARGENTINA | |
| 651 | 4 | |a SOUTH AMERICA | |
| 700 | 1 | |a Ferreira, L. | |
| 773 | 0 | |d 2003 |g v. 52 |h pp. 81-93 |k n. 2 |p Aust. Meteorol. Mag. |x 00049743 |w (AR-BaUEN)CENRE-1423 |t Australian Meteorological Magazine | |
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| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_00049743_v52_n2_p81_Saulo |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00049743_v52_n2_p81_Saulo |y Registro en la Biblioteca Digital |
| 961 | |a paper_00049743_v52_n2_p81_Saulo |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 999 | |c 82465 | ||