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Titolo:
REMOVING SATELLITE EQUATORIAL CROSSING TIME BIASES FROM THE OLR AND HRC DATASETS
Autore:
WALISER DE; ZHOU WF;
Indirizzi:
SUNY STONY BROOK,INST TERR & PLANETARY ATMOSPHERES STONY BROOK NY 11794
Titolo Testata:
Journal of climate
fascicolo: 9, volume: 10, anno: 1997,
pagine: 2125 - 2146
SICI:
0894-8755(1997)10:9<2125:RSECTB>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
OUTGOING LONGWAVE RADIATION; NINO SOUTHERN OSCILLATION; SEA-SURFACE TEMPERATURE; INTERANNUAL VARIABILITY; EL-NINO; METEOROLOGICAL ASPECTS; PRINCIPAL COMPONENTS; TROPICAL CONVECTION; DIURNAL-VARIATION; CLOUD;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
48
Recensione:
Indirizzi per estratti:
Citazione:
D.E. Waliser e W.F. Zhou, "REMOVING SATELLITE EQUATORIAL CROSSING TIME BIASES FROM THE OLR AND HRC DATASETS", Journal of climate, 10(9), 1997, pp. 2125-2146

Abstract

The objective of this study is to examine the impacts from satellite equatorial crossing time (ECT) changes on the outgoing longwave radiation (OLR) and highly reflective cloud (HRC) datasets and to design appropriate and robust methods to remove these satellite-dependent biases. The OLR record covers the period from lune 1974 to July 1996 and is on a 2.5 degrees grid extending from 30 degrees S to 30 degrees N overthe global Tropics. The HRC record covers the period from January 1971 to December 1987 and is on a 2 degrees grid extending from 25 degrees S to 25 degrees N over the global Tropics. Rotated empirical orthogonal function analysis (REOF) is performed on both the monthly OLR and HRC anomalies to help distinguish between artificial modes of variability and those associated with real variability. Results from the analysis show that significant errors are introduced by changes in the satellite ECT, and they appear differently in the two datasets. The primary satellite-related bias in the OLR appears as the fourth REOF mode, which accounts for 4.4% of the OLR anomaly variance. Its spatial pattern exhibits a strong surface signature over land, with the opposite sign over many of the deep convective regions of the ocean. During some periods, these biases result in widespread errors of over 10 W m(-2), which are sustained for several months to over a year. In other cases, the transition between satellites induces abrupt, artificial changes in the OLR as high as 16 W m(-2). In the HRC, the satellite-related bias appears as the leading two REOF modes, which account for 13.1% of the HRC anomaly variance. The spatial patterns of the HRC biases are indicative of an overall change in the mean climatological convection pattern. The above results can be understood by considering the sampling and radiometric characteristics of the OLR and HRC datasets. To removethe satellite ECT biases, the REOF time series of the satellite-related modes are modified by using the detailed knowledge of the satelliteECTs so that only artificial variability related to the satellite changes is captured and the natural variability is excluded. These modified time series are used in conjunction with their associated spatial patterns to compute the satellite-related artificial variability, whichis then removed from the two datasets. These datasets provide an improved resource to study intraseasonal and longer timescale regional climate variations, large-scale interannual variability, and global-scaleclimate trends. Analyses of the long-term trends in both datasets show that the satellite biases induce artificial trends in the data and that these artificial trends are reduced in the corrected datasets. Further, each of the corrected datasets exhibits a trend in the tropical western-central Pacific that appears spatially independent of the satellite biases and agrees with results of previous studies that indicatean increase in precipitation has occurred in this region over the period encompassed by these datasets.

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Documento generato il 05/12/20 alle ore 09:58:02