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首页> 外文学位 >Coupled cryosphere model development for regional climate study and the initialization of Purdue regional model with the land data assimilation system.
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Coupled cryosphere model development for regional climate study and the initialization of Purdue regional model with the land data assimilation system.

机译：将冰冻圈模型开发与区域气候研究相结合，并将Purdue区域模型与土地数据同化系统初始化。

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The presence of snow strongly affects the surface energy budget in mid-to-high latitudes during the transition period of winter to spring. Snow's high albedo dramatically reduces the amount of shortwave radiative energy available at the surface, and its low thermal conductivity significantly restricts exchanges of heat between soil and the atmosphere. Synoptic waves propagating over the Northern Plains are a major source of snow storms and flash flooding during this period. The presence of snow and its melt from winter to spring affects the propagation of synoptic waves and the amount of precipitation over this region. Here we investigate the effect of snow cover, soil frost, and snowmelt on the atmosphere over cold land and implement a multi-layer Soil-Snow-Vegetation Model (SSVM) coupled to an atmospheric Purdue Regional Model (PRM). We have applied a one-dimensional, multi-layer land surface model based on the conservations of heat and water substance inside the soil and snow for use with the regional climate model. Compared to the current land-surface scheme, the new SSVM shows significant differences in both moisture and temperature simulation for the months of March and April, which affects the surface energy budget and the hydrological cycle. This research has achieved the following goals: (a) a comprehensive and physically based surface model has been incorporated into the PRM, (b) a detailed description of a multi-layer snow and frozen soil was presented, (c) a flexible surface model that can be applicable for the study of both warm and cold seasons was developed and tested, and (d) the regional climate effect of cold season processes was studied to understand the interactions between the atmosphere and the land.; In part two, analysis data derived from the Finite Volume Data Assimilation System (FVDAS, NASA Global Modeling and Assimilation Office) and the Land Data Assimilation System (LDAS, NASA Hydrological Sciences Branch) have been successfully implemented to PRM and are tested to provide initial conditions and lateral boundary forcing. Initialization of the PRM's weather forecast with FVDAS and LDAS high-resolution land surface and soil moisture data are compared with ECMWF reanalysis.
机译：在冬季到春季的过渡时期，积雪的存在强烈影响中高纬度地区的表面能收支。雪的高反照率极大地减少了地表可用的短波辐射能，而低的热导率显着限制了土壤与大气之间的热交换。在此期间，在北部平原上传播的天气波是暴风雪和山洪暴发的主要来源。从冬季到春季，雪及其融化的存在会影响天气波的传播以及该区域的降水量。在这里，我们研究了积雪，土壤霜和融雪对寒冷土地上大气的影响，并实现了与大气普渡地区模型（PRM）耦合的多层土壤-雪-植被模型（SSVM）。我们基于土壤和积雪内部的热和水物质守恒，应用了一维，多层的地表模型，与区域气候模型一起使用。与当前的陆表方案相比，新的SSVM在3月和4月的水分和温度模拟中显示出显着差异，这会影响地表能量收支和水文循环。该研究实现了以下目标：（a）将基于物理的综合表面模型纳入PRM中；（b）给出了多层积雪和冻土的详细描述；（c）灵活的表面模型开发和测试了可用于研究冷暖季节的方法，并且（d）研究了冷季节过程的区域气候效应，以了解大气与土地之间的相互作用。在第二部分中，从有限体积数据同化系统（FVDAS，NASA全球建模和同化办公室）和土地数据同化系统（LDAS，NASA水文科学处）获得的分析数据已成功应用于PRM，并经过测试以提供初始数据。条件和横向边界强迫。用FVDAS和LDAS高分辨率土地表面和土壤水分数据对PRM天气预报的初始化与ECMWF重新分析进行了比较。

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