Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/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
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
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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