使用地基数据、卫星数据和再分析数据验证 INSAT-3D 和 INSAT-3DR 温度剖面检索,Journal of Geophysical Research: Atmospheres

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使用地基数据、卫星数据和再分析数据验证 INSAT-3D 和 INSAT-3DR 温度剖面检索
Journal of Geophysical Research: Atmospheres ( IF 3.8 ) Pub Date : 2023-11-14 , DOI: 10.1029/2023jd038912
G. S. Gopikrishnan ₁ , J. Kuttippurath ₁ , P. K. Thapliyal ₂ , M. V. Shukla ₂

Affiliation

恶劣天气事件的临近预报和短期预测需要频繁观测大气热力学状态。为了满足这些要求，印度在地球静止平台发射了一系列先进的气象卫星，其中印度国家卫星系统（INSAT）-3D和INSAT-3DR是首批进入该轨道的两颗卫星。这两颗卫星都是为气象观测而设计的，特别是每小时间隔的温度和湿度的垂直剖面。由于这些卫星相对较新，因此需要在科学分析之前对其检索进行验证和准确性评估。这些探测器的空间分辨率为 10 公里，可从 2014 年至今进行测量。本研究利用 INSAT-3D 和 INSAT-3DR 与 18 个无线电探空仪、大气红外探测器 (AIRS) 的并置测量以及对流层 (1,000-100 hPa) 内的再分析数据来验证 INSAT 数据。我们分析了印度陆地地区的数据，发现将 INSAT-3D (3DR) 与 AIRS 测量结果进行比较时，大多数地区的平均偏差约为 2-3 K (1-1.5 K)。与再分析数据相比，INSAT-3D (3DR) 显示对流层低层偏差在 2.5–5 K (2–3 K) 范围内，对流层中层偏差在 1.5–2.5 K (1–2 K) 范围内，对流层中层偏差在 1.5–2.5 (< 2 K) 在对流层上层。无线电探空仪测量也估计了类似的偏差。总体而言，验证表明温度剖面的准确度一般在 1–1.5 K 范围内，INSAT-3DR 反演效果优于 INSAT-3D。然而，更好的云过滤器与先进的辐射传输模型一起可以进一步改进用于检索的算法。

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Validation of INSAT-3D and INSAT-3DR Temperature Profile Retrievals Using Ground-Based, Satellite, and Reanalysis Data

Nowcasting and short-range predictions of severe weather events require frequent observations of atmospheric thermodynamic state. To meet these requirements, India has launched a series of advanced weather satellites in geostationary platform, with Indian National Satellite System (INSAT)-3D and INSAT-3DR as first two satellites placed in this orbit. Both satellites are designed for meteorological observations, particularly the vertical profiles of temperature and humidity at hourly intervals. As these satellites are relatively new, there is a need to validate and make accuracy assessment of their retrievals prior to scientific analyses. These sounders have a spatial resolution of 10 km, and measurements are available from 2014 to date. This study makes use of collocated measurements of INSAT-3D and INSAT-3DR with those from 18 radiosondes, Atmospheric Infrared Sounder (AIRS), and reanalysis data within the troposphere (1,000–100 hPa) to validate INSAT data. We analyzed the data for India land regions, and found an average bias of about 2–3 K (1–1.5 K) in most regions, when INSAT-3D (3DR) is compared to AIRS measurements. Compared to the reanalysis data, INSAT-3D (3DR) shows a bias within 2.5–5 K (2–3 K) in lower troposphere, 1.5–2.5 K (1–2 K) in mid-troposphere and 1.5–2.5 (<2 K) in upper troposphere. Similar biases were also estimated with radiosonde measurements. In general, the validation shows that temperature profiles are generally accurate within 1–1.5 K, and INSAT-3DR retrievals are better than that of INSAT-3D. Nevertheless, a better cloud filter together with an advanced radiative transfer model can further improve the algorithm used for retrieval.

更新日期：2023-11-15

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