Intercomparisons of ECMWF ERA and TOGA data with observations for the 1993Great Flood

Citation
Wj. Hwu et al., Intercomparisons of ECMWF ERA and TOGA data with observations for the 1993Great Flood, J GEO RES-A, 104(D16), 1999, pp. 19367-19382
Citations number
17
Categorie Soggetti
Earth Sciences
Volume
104
Issue
D16
Year of publication
1999
Pages
19367 - 19382
Database
ISI
SICI code
Abstract
The 1993 summer rainfall over the Midwestern United States caused major flo oding in the Upper Mississippi and Lower Missouri River basins. In this pap er, a monthly comparative study of the analysis products from the European Centre for Medium-Range Weather Forecasts (ECMWF) with observations is cond ucted for the period September 1992 to August 1993, The model products incl ude the ECMWF analysis for the Tropical Ocean and Global Atmosphere (TOGA) project and ECMWF reanalysis (ERA) project. Overall, the large-scale hydrol ogical components (precipitation, evaporation, precipitable water, surface temperature, and relative humidity) appear partially improved from TOGA to ERA. Some internal inconsistencies exist in the assimilation of the ERA dat a from October 1992 to March 1993, in association with the dramatic prevale nce of large-scale moisture divergence at 0000 UT, The separation of moistu re flux into meridional and zonal components indicates that the correct des cription of the meridional moisture flow is of crucial importance for simul ation of anomalously wet conditions. While the spatially averaged monthly f ields in ERA and TOGA are reasonable (in particular, the models maintain ve ry good mean flow), the fine-scale extremes are less accurate. The models d o not reproduce observed mesoscale convective complexes due to limitations on resolution and the parameterization of precipitation processes, The new soil hydrology and boundary layer schemes of ERA work better in warm months but with no consistent improvement over TOGA, The terrestrial water budget in ERA is unrealistic, with accumulated model runoff being largely deviate d from the observed stream-flow, In addition to modeling internal water bal ance, the lack of the routing procedure and the low spatial resolution of s urface hydrology are the other major reasons for this imbalance.