التفاصيل البيبلوغرافية
| العنوان: |
Diagnosing an Artificial Trend in NLDAS-2 Afternoon Precipitation. |
| المؤلفون: |
Ferguson, Craig R., Mocko, David M. |
| المصدر: |
Journal of Hydrometeorology; Apr2017, Vol. 18 Issue 4, p1051-1070, 20p |
| مصطلحات موضوعية: |
RAINFALL, METEOROLOGICAL precipitation, SURFACE energy, STREAMFLOW, RETROSPECTIVE studies |
| مستخلص: |
While investigating linkages between afternoon peak rainfall amount and land-atmosphere coupling strength, a statistically significant trend in phase 2 of the North American Land Data Assimilation System (NLDAS-2) warm season (April-September) afternoon (1700-2259 UTC) precipitation was noted for a large fraction of the conterminous United States, namely, two-thirds of the area east of the Mississippi River, during the period from 1979 to 2015. To verify and better characterize this trend, a thorough statistical analysis is undertaken. The analysis focuses on three aspects of precipitation: amount, frequency, and intensity at 6-hourly time scale and for each calendar month separately. At the NLDAS-2 native resolution of 0.125° × 0.125°, Kendall's tau and Sen's slope estimators are used to detect and estimate trends and the Pettitt test is used to detect breakpoints. Parallel analyses are conducted on both NARR and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), subdaily precipitation estimates. Widespread breakpoints of field significance at the α = 0.05 level are detected in the NLDAS-2 frequency and intensity series for all months and 6-h periods that are absent from the analogous NARR and MERRA-2 datasets. These breakpoints are shown to correspond with a July 1996 NLDAS-2 transition away from hourly 2° × 2.5° NOAA/CPC precipitation estimates to hourly 4-km stage II Doppler radar precipitation estimates in the temporal disaggregation of CPC daily gauge analyses. While NLDAS-2 may provide the most realistic diurnal precipitation cycle overall, users should be aware of this discontinuity and its direct effect on long-term trends in subdaily precipitation and indirect effects on trends in modeled soil moisture, surface temperature, surface energy and water fluxes, snow cover, snow water equivalent, and runoff/streamflow. [ABSTRACT FROM AUTHOR] |
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