首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation
【24h】

Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation

机译:大气辐射测量站点大气状态的最佳估计,用于大气红外测深仪的温度和水汽回收验证

获取原文
获取原文并翻译 | 示例
           

摘要

The Atmospheric Infrared Sounder (AIRS) is the first of a new generation of advanced satellite-based atmospheric sounders with the capability of obtaining high–vertical resolution profiles of temperature and water vapor. The high-accuracy retrieval goals of AIRS (e.g., 1 K RMS in 1 km layers below 100 mbar for air temperature, 10% RMS in 2 km layers below 100 mbar for water vapor concentration), combined with the large temporal and spatial variability of the atmosphere and difficulties in making accurate measurements of the atmospheric state, necessitate careful and detailed validation using well-characterized ground-based sites. As part of ongoing AIRS Science Team efforts and a collaborative effort between the NASA Earth Observing System (EOS) project and the Department of Energy Atmospheric Radiation Measurement (ARM) program, data from various ARM and other observations are used to create best estimates of the atmospheric state at the Aqua overpass times. The resulting validation data set is an ensemble of temperature and water vapor profiles created from radiosondes launched at the approximate Aqua overpass times, interpolated to the exact overpass time using time continuous ground-based profiles, adjusted to account for spatial gradients within the Advanced Microwave Sounding Unit (AMSU) footprints, and supplemented with limited cloud observations. Estimates of the spectral surface infrared emissivity and local skin temperatures are also constructed. Relying on the developed ARM infrastructure and previous and ongoing characterization studies of the ARM measurements, the data set provides a good combination of statistics and accuracy which is essential for assessment of the advanced sounder products. Combined with the collocated AIRS observations, the products are being used to study observed minus calculated AIRS spectra, aimed at evaluation of the AIRS forward radiative transfer model, AIRS observed radiances, and temperature and water vapor profile retrievals. This paper provides an introduction to the ARM site best estimate validation products and characterizes the accuracy of the AIRS team version 4 atmospheric temperature and water vapor retrievals using the ARM products. The AIRS retrievals over tropical ocean are found to have very good accuracy for both temperature and water vapor, with RMS errors approaching the theoretical expectation for clear sky conditions, while retrievals over a midlatitude land site have poorer performance. The results demonstrate the importance of using specialized “truth” sites for accurate assessment of the advanced sounder performance and motivate the continued refinement of the AIRS science team retrieval algorithm, particularly for retrievals over land.
机译:大气红外测深仪(AIRS)是新一代先进的基于卫星的大气测深仪,能够获得温度和水蒸气的高垂直分辨率曲线。 AIRS的高精度检索目标(例如,气温低于100 mbar的1 km层为1 K RMS,低于100 mbar的2 km层为10%RMS用于水蒸气浓度),并且结合了较大的时间和空间变异性大气以及精确测量大气状态的困难,因此必须使用特征明确的地面站点进行仔细而详细的验证。作为AIRS科学团队正在进行的工作的一部分,以及NASA地球观测系统(EOS)项目和能源部大气辐射测量(ARM)计划之间的协作,来自各种ARM的数据和其他观测数据被用于创建最佳估计值。 Aqua立交时的大气状态。最终的验证数据集是由在近似Aqua越过时间发射的探空仪产生的温度和水蒸气廓线的集合,并使用基于地面的时间连续廓线插值到确切的越过时间,并根据高级微波探测中的空间梯度进行了调整单位(AMSU)足迹,并辅以有限的云观测。还构建了光谱表面红外发射率和局部皮肤温度的估计值。依靠已开发的ARM基础架构以及先前和正在进行的ARM测量特性研究,该数据集提供了统计信息和准确性的良好组合,这对于评估先进的发声器产品至关重要。结合并置的AIRS观测值,这些产品将用于研究观测到的减去AIRS计算得出的光谱,旨在评估AIRS的正向辐射传递模型,AIRS的观测辐射率以及温度和水蒸气廓线。本文介绍了ARM站点最佳估计验证产品,并描述了使用ARM产品的AIRS团队版本4大气温度和水蒸气的准确性。发现在热带海洋上的AIRS取回对温度和水汽都具有非常好的准确性,RMS误差接近晴朗天空条件下的理论预期值,而在中纬度陆地站点取回的取景效果较差。结果表明,使用专门的“真相”站点来准确评估高级发声器性能的重要性,并激励AIRS科学团队检索算法(尤其是在陆地上的检索)的持续改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号