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  • Other Sources  (2)
  • Computer Programming and Software; Meteorology and Climatology  (1)
  • Meteorology and Climatology; Earth Resources and Remote Sensing  (1)
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  • Other Sources  (2)
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  • 1
    Publication Date: 2019-06-14
    Description: The daily surface and atmospheric radiative fluxes from NASA Clouds and the Earth's Radiant Energy System (CERES) Synoptic 1 degree (SYN1deg) Ed3A are among the most widely used data to study cloudradiative feedback. The CERES SYN1deg data are based on FuLiou radiative transfer computations that use specific humidity (Q) and air temperature (T) from NASA Global Modeling and Assimilation Office (GMAO) reanalyses as inputs and are therefore subject to the quality of those fields. This study uses in situ Q and T observations collected during the Dynamics of the MaddenJulian Oscillation (DYNAMO) field campaign to augment the input stream used in the NASA GMAO reanalysis and assess the impact on the CERES daily surface and atmospheric longwave estimates. The results show that the assimilation of DYNAMO observations considerably improves the vertical profiles of analyzed Q and T over and near DYNAMO stations by moistening and warming the lower troposphere and upper troposphere and drying and cooling the midupper troposphere. As a result of these changes in Q and T, the computed CERES daily surface downward longwave flux increases by about 5 W m(exp 2), due mainly to the warming and moistening in the lower troposphere; the computed daily topofatmosphere (TOA) outgoing longwave radiation increases by 23 W m(exp 2) during dry periods only. Correspondingly, the estimated local atmospheric longwave radiative cooling enhances by about 5 W m(exp 2) (78 W m(exp 2)) during wet (dry) periods. These changes reduce the bias in the CERES SYN1deglike daily longwave estimates at both the TOA and surface and represent an improvement over the DYNAMO region.
    Keywords: Meteorology and Climatology; Earth Resources and Remote Sensing
    Type: NF1676L-26741 , Earth and Space Science (e-ISSN 2333-5084); 4; 4; 164-183
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-13
    Description: The causes of the California drought during November-April winters of 2011/12-2013/14 are analyzed using observations and ensemble simulations with seven atmosphere models forced by observed SSTs. Historically, dry California winters are most commonly associated with a ridge off the west coast but no obvious SST forcing. Wet winters are most commonly associated with a trough off the west coast and an El Nino event. These attributes of dry and wet winters are captured by many of the seven models. According to the models, SST forcing can explain up to a third of California winter precipitation variance. SST forcing was key to sustaining a high pressure ridge over the west coast and suppressing precipitation during the three winters. In 2011/12 this was a response to a La Nina event, whereas in 2012/13 and 2013/14 it appears related to a warm west-cool east tropical Pacific SST pattern. All models contain a mode of variability linking such tropical Pacific SST anomalies to a wave train with a ridge off the North American west coast. This mode explains less variance than ENSO and Pacific decadal variability, and its importance in 2012/13 and 2013/14 was unusual. The models from phase 5 of CMIP (CMIP5) project rising greenhouse gases to cause changes in California all-winter precipitation that are very small compared to recent drought anomalies. However, a long-term warming trend likely contributed to surface moisture deficits during the drought. As such, the precipitation deficit during the drought was dominated by natural variability, a conclusion framed by discussion of differences between observed and modeled tropical SST trends.
    Keywords: Computer Programming and Software; Meteorology and Climatology
    Type: GSFC-E-DAA-TN27007 , Journal of Climate; 28; 18; 6997-7024
    Format: text
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