Interannual variability of outgoing longwave radiation as observed by AIRS and CERES

Interannual variability of outgoing longwave radiation as observed by AIRS and CERES
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AIRS 和 CERES 观测到的出射长波辐射的年际变化

DOI:
10.1029/2012jd017997
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发表时间:
2012
影响因子:
--
通讯作者:
N. Loeb
N. Loeb
中科院分区:
--
文献类型:
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作者:
J. Susskind;G. Molnar;L. Iredell;N. Loeb

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[1]本文探讨了空间异常的时间序列的传出长波辐射(OLR)和晴空OLR(OLRSTO)确定使用的观测从谷神星Terra和AIRS在2002年9月至2011年6月的时间段。我们发现两个OLR数据集在1° × 1°空间网格点水平的几乎每个细节上都非常一致。OLR异常时间序列的两个不同的仪器观测得出的非常接近的协议意味着两套结果的高稳定性。全球平均值,特别是热带平均值,OLR的异常与厄尔尼诺指数密切相关。这些相关性解释了最近的全球和热带平均减少OLR在研究的时间段内,主要是从厄尔尼诺条件在数据记录开始到拉尼娜条件对数据周期结束的过渡的结果。我们发现,平均OLR异常与厄尔尼诺指数的密切相关性,可以很好地解释OLR的时间变化在两个空间区域内,一个以东,一个以西,NOAA Nino-4区域。这两个空间区域的OLR异常与El Nino指数都有很强的相关性,这是由于这两个区域的云量和对流层中层水汽异常与El Nino指数有很强的相关性。
[1] The paper examines spatial anomaly time series of outgoing longwave radiation (OLR) and Clear Sky OLR (OLRCLR) as determined using observations from CERES Terra and AIRS over the time period September 2002 through June 2011. We find excellent agreement of the two OLR data sets in almost every detail down to the 1° × 1° spatial grid point level. The extremely close agreement of OLR anomaly time series derived from observations by two different instruments implies high stability of both sets of results. Anomalies of global mean, and especially tropical mean, OLR are shown to be strongly correlated with an El Nino Index. These correlations explain that the recent global and tropical mean decreases in OLR over the time period studied are primarily the result of a transition from an El Nino condition at the beginning of the data record to La Nina conditions toward the end of the data period. We show that the close correlation of mean OLR anomalies with the El Nino Index can be well accounted for by temporal changes of OLR within two spatial regions, one to the east of, and one to the west of, the NOAA Nino-4 region. Anomalies of OLR in these two spatial regions are both strongly correlated with the El Nino Index as a result of the strong anticorrelation of anomalies of cloud cover and midtropospheric water vapor in these two regions with the El Nino Index.