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Remote Sensing of precipitation (RS)

降水遥感（RS）

基本信息

批准号：
320406546
负责人：
Professor Dr. Jörg Bendix
金额：
--
依托单位：
Fachgebiet Klimatologie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/320406546?language=en
关键词：
Remote Sensing precipitation RS

项目摘要

Precipitation is one of the most important climate elements linking complex atmospheric processes with hydrological cycles, snow cover and mass balances of glaciers and ice caps. Precipitation is a key variable for water resource management and prevention of natural disasters such as floods and droughts. This particularly holds true for the study region of the proposed project bundle prime which encompasses High Asia, i.e., the Tibetan Plateau and its surrounding high-mountain ranges. Research within prime aims at generating and validating improved gridded precipitation data sets relying on new remote sensing data and advanced numerical modelling approaches (i). Based on this we investigate spatial and temporal patterns and region-specific boundary conditions, large-scale drivers and meso- to local-scale processes controlling precipitation variability (ii). The improved accuracy and better knowledge on precipitation type and variability allow extending our understanding of spatial and temporal variations of glacier mass balances and seasonal snow covers in different sub-regions of High Asia (iii). The aim of the proposed sub-project Remote sensing of precipitation (prime-RS) is the retrieval of precipitation information in a high spatio-temporal resolution over the Tibetan Plateau by means of satellite data for the period 2001 to 2018. Besides the retrieval of rainfall information one major focus is the retrieval of solid precipitation as a major parameter for glacier balances and the water cycle over the Tibetan Plateau. To provide the mentioned long-term precipitation time series with the highest possible accuracy we will combine first and second generation satellite data. The developed satellite-based precipitation products will benefit from an innovative cross-validation which incorporates high resolution reanalysis data over the Tibetan Plateau from TU Berlin together with detailed snow inventories provided by HU Berlin. By this means the proposed sub-project will provide a new system to properly observe atmo-hydro-cryosphere interactions over High Asia at high spatio-temporal resolution, suitable to capture cross-scale effects on the water balance. The detailed analysis of the new high resolution precipitation data set together with the improved high resolution reanalysis data set (TU Berlin) will provide new insights into the precipitation processes in High Asia and how they are governed by cross-scale atmospheric circulation dynamics.

降水是最重要的气候要素之一，它将复杂的大气过程与水文循环、雪盖以及冰川和冰帽的物质平衡联系起来。降水量是水资源管理和预防洪水和干旱等自然灾害的一个关键变量。这尤其适用于拟议项目bundle prime的研究区域，该区域包括高亚洲，即，青藏高原及其周围的高山。prime内的研究旨在依靠新的遥感数据和先进的数值建模方法生成和验证改进的网格化降水数据集。在此基础上，我们调查的空间和时间模式和区域特定的边界条件，大尺度的驱动程序和中到本地尺度的过程控制降水变率（ii）。提高精度和降水类型和变异性的更好的知识，使我们扩大了解的空间和时间变化的冰川质量平衡和季节性积雪在不同的次区域高亚洲（iii）。拟议的降水遥感分项目的目的是利用2001年至2018年期间的卫星数据，以高时空分辨率检索青藏高原的降水信息。除降水信息的反演外，固体降水作为青藏高原冰川平衡和水循环的主要参数的反演也是一个重要的研究重点。为了尽可能准确地提供上述长期降水时间序列，我们将把联合收割机第一代和第二代卫星数据结合起来。开发的基于卫星的降水产品将受益于创新的交叉验证，该交叉验证将柏林工业大学提供的青藏高原高分辨率再分析数据与柏林胡大学提供的详细积雪清单结合在一起。通过这种方式，拟议的分项目将提供一个新的系统，以高时空分辨率适当观测高亚洲上空的大气-水-冰冻圈相互作用，适合捕捉对水平衡的跨尺度影响。新的高分辨率降水数据集的详细分析，以及改进的高分辨率再分析数据集（TU柏林）将提供新的见解，在高亚洲的降水过程，以及它们是如何由跨尺度大气环流动力学。