项目编号: | 1542794
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项目名称: | Collaborative Research: Optimized Deployment of Antarctic Surface Weather Observations |
作者: | Jordan Powers
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承担单位: | University Corporation For Atmospheric Res
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批准年: | 2016
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开始日期: | 2016-06-01
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结束日期: | 2018-05-31
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资助金额: | 95258
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资助来源: | US-NSF
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项目类别: | Standard Grant
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国家: | US
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语种: | 英语
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特色学科分类: | Geosciences - Polar
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英文关键词: | observational network
; active antarctic radiosonde network
; weather station
; weather forecasting goal
; ncar researcher
; validation observation
; antarctic mesoscale prediction systems
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英文摘要: | Numerical experiments are to be used to test probabilistic predictions as to the optimal and sub-optimal siting of surface Automated Weather Station (AWS) observations in Antarctica. Sensor placement is a generic problem across the goesciences, and this project may have far-reaching impact as to fidelity and cost of observational networks. In particular, problems where measurements are difficult to obtain and/or expensive may be prioritized objectively with the approach tested here. If successful, this research provides the basis for an objectively optimized augmentation or re-configuration of the AWS network to meet climate monitoring (such as locating new or paleoclimate proxy records) and weather forecasting goals.
Gridded data from (archived) Antarctic Mesoscale Prediction Systems (AMPS) will be used by University of Washington and NCAR researchers to optimize the spatial correlation length scales for the existing AWS network via ensemble sensitivity theory. These predictions of optimal station placement will in turn be subject to observing systems experiments, using both data denial and reconfiguration approaches. A related line of enquiry is to be an evaluation of the current locations of the active Antarctic radiosonde network, as judged by the network?s ability to account for tropospheric variance in archived AMPS forecast temperature data. Sonde measurements also may collocate with validation observations from infrared soundings from satellites, or GPS radio occultation. |
资源类型: | 项目
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标识符: | http://119.78.100.158/handle/2HF3EXSE/92117
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Appears in Collections: | 全球变化的国际研究计划 科学计划与规划
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Recommended Citation: |
Jordan Powers. Collaborative Research: Optimized Deployment of Antarctic Surface Weather Observations. 2016-01-01.
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