Drought Monitoring and Drought Prediction in China Using Remote Sensing, Land Surface Models (lsm) and Data Assimilation: Preliminary Results of the Loess Plateau Field Experiment in 2005 (lopex05)

نویسندگان

  • Rogier van der Velde
  • Jun Wen
  • Tangtang Zhang
  • Tom Rientjes
  • Alicia T. Joseph
چکیده

The Dragon project “drought monitoring and drought prediction” will be used to develop a system to monitor and generate predictions of the soil moisture conditions in the root zone. The methodology that will be employed is based on the direct assimilation of satellite observation in a land surface modeling framework. The advantage of this methodology is that physically based methods can be used as compared to (semi-) empirical direct-retrieval algorithms.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Standardized Soil Moisture Index for Drought Monitoring Based on Soil Moisture Active Passive Observations and 36 Years of North American Land Data Assimilation System Data: A Case Study in the Southeast United States

Droughts can severely reduce the productivity of agricultural lands and forests. The United States Department of Agriculture (USDA) Southeast Regional Climate Hub (SERCH) has launched the Lately Identified Geospecific Heightened Threat System (LIGHTS) to inform its users of potential water deficiency threats. The system identifies droughts and other climate anomalies such as extreme precipitati...

متن کامل

Evaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)

Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...

متن کامل

Monitoring Meteorological Drought in Iran Using Remote Sensing and Drought Indices

Drought is a major environmental disaster in many parts of the world. Knowledge about the timing, severity and extentof drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. This studyused advanced very high resolution radiom...

متن کامل

Distribution map of the different lithologic units in loess plateau of eastern Golestan by using remote sensing technique; Aghband research area

Introduction: Along with the climate, Soil is an essential natural resource. Although soil studies in Iran have been started more than 50 years ago, the soil map of the country has not been fully prepared yet, and only 20-25% of the lands have been mapped already. Many soil maps of Iran need to be updated, but the common methods in soil mapping are costly and time-consuming. Hence, using data o...

متن کامل

Monitoring and predicting the 2007 U.S. drought

[1] Severe droughts developed in theWest and Southeast of the U.S. starting early in 2007. The development of the droughts is well monitored and predicted by our model-based Drought Monitoring and Prediction System (DMAPS). Using the North America Land Data Assimilation System (NLDAS) realtime meteorological forcing and the Variable Infiltration Capacity (VIC) land surface model, DMAPS is capab...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005