GSTDTAP  > 地球科学
DOI10.1175/JAS-D-18-0127.1
Estimating Convection's Moisture Sensitivity: An Observation-Model Synthesis Using AMIE-DYNAMO Field Data
Mapes, Brian1; Chandra, Arunchandra S.1; Kuang, Zhiming2; Song, Siwon3; Zuidema, Paquita1
2019-06-01
发表期刊JOURNAL OF THE ATMOSPHERIC SCIENCES
ISSN0022-4928
EISSN1520-0469
出版年2019
卷号76期号:6页码:1505-1520
文章类型Article
语种英语
国家USA; Australia
英文摘要

We seek to use ARM MJO Investigation Experiment (AMIE)-DYNAMO field campaign observations to significantly constrain height-resolved estimates of the parameterization-relevant, causal sensitivity of convective heating Q to water vapor q. In field data, Q profiles are detected via Doppler radar wind divergence D while balloon soundings give q. Univariate regressions of D on q summarize the information from a 10-layer time-pressure series from Gan Island (0 degrees, 90 degrees E) as a 10 x 10 matrix. Despite the right shape and units, this is not the desired causal quantity because observations reflect confounding effects of additional q-correlated casual mechanisms. We seek to use this matrix to adjudicate among candidate estimates of the desired causal quantity: Kuang's matrix of the linear responses of a cyclic convection-permitting model (CCPM) at equilibrium. Transforming to more observation-comparable forms by accounting for observed autocorrelations, the comparisons are still poor, because (we hypothesize) larger-scale vertical velocity, forbidden by CCPM methodology, is another confounding cause that must be permitted to covary with q. By embedding and modified candidates in an idealized GCM, and treating its outputs as virtual field campaign data, we find that observations favor a factor of 2 (rather than 0 or 1) to small-domain 's free-tropospheric causal q sensitivity of about 25% rain-rate increment over 3 subsequent hours per +1 g kg(-1) q impulse in a 100-hPa layer. Doubling this sensitivity lies partway toward Kuang's for a long domain that organizes convection into squall lines, a weak but sign-consistent hint of a detectable parameterization-relevant (causal) role for convective organization in nature. Caveats and implications for field campaign proposers are discussed.


英文关键词Tropics Convective-scale processes Diabatic heating Regression analysis Parameterization Tropical variability
领域地球科学
收录类别SCI-E
WOS记录号WOS:000468165300002
WOS关键词LINEAR-RESPONSE FUNCTIONS ; VERTICAL STRUCTURE ; RADAR OBSERVATIONS ; TEMPERATURE ; MJO ; PRECIPITATION ; DIVERGENCE ; PROFILES ; ENSEMBLE ; REGIONS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/183872
专题地球科学
作者单位1.Univ Miami, Miami, FL 33146 USA;
2.Harvard Univ, Cambridge, MA 02138 USA;
3.Univ New South Wales, Sydney, NSW, Australia
推荐引用方式
GB/T 7714
Mapes, Brian,Chandra, Arunchandra S.,Kuang, Zhiming,et al. Estimating Convection's Moisture Sensitivity: An Observation-Model Synthesis Using AMIE-DYNAMO Field Data[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2019,76(6):1505-1520.
APA Mapes, Brian,Chandra, Arunchandra S.,Kuang, Zhiming,Song, Siwon,&Zuidema, Paquita.(2019).Estimating Convection's Moisture Sensitivity: An Observation-Model Synthesis Using AMIE-DYNAMO Field Data.JOURNAL OF THE ATMOSPHERIC SCIENCES,76(6),1505-1520.
MLA Mapes, Brian,et al."Estimating Convection's Moisture Sensitivity: An Observation-Model Synthesis Using AMIE-DYNAMO Field Data".JOURNAL OF THE ATMOSPHERIC SCIENCES 76.6(2019):1505-1520.
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