Identification of Rainfall Variability Using TRMM Data Analysis
نویسندگان
چکیده
منابع مشابه
TRMM satellite rainfall data
Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and 5 the foreseeable future, however, it is necessary to evalua...
متن کاملAn Analysis of the MJO Guided by TRMM Rainfall Data
The Madden-Julian Oscillation (MJO), an eastward-propagating equatorial disturbance most active during the boreal winter, dominates atmospheric intraseasonal variability in the tropical Eastern Hemisphere. The MJO involves cyclic patterns of suppressed convection and intense rainfall, has a period ranging from 20-100 days, and is manifested in numerous atmospheric and oceanic variables. This st...
متن کاملTropical Rainfall-surface Temperature Relations Using Trmm Precipitation Data
In this study, nine-years (1998-2006) of monthly precipitation data from Tropical Rainfall Measuring Mission (TRMM) are used to examine the relations between tropical rainfall and surface temperature. A technique is developed to adjust the PR monthly rainfall data in the Tropics (whole ocean and whole land) to account for the effect of the TRMM orbit boost from 350 km to 402 km in August 2001. ...
متن کاملImproving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data
Soil erosion is a global issue that threatens food security and causes environmental degradation. Management of water erosion requires accurate estimates of the spatial and temporal variations in the erosive power of rainfall (erosivity). Rainfall erosivity can be estimated from rain gauge stations and satellites. However, the time series rainfall data that has a high temporal resolution are of...
متن کاملSatellite-based Flood Modeling Using TRMM-based Rainfall Products
Increasingly available and a virtually uninterrupted supply of satellite-estimatedrainfall data is gradually becoming a cost-effective source of input for flood predictionunder a variety of circumstances. However, most real-time and quasi-global satelliterainfall products are currently available at spatial scales ranging from 0.25o to 0.50o andhence, are considered somewhat coarse for dynamic h...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2019
ISSN: 1755-1315
DOI: 10.1088/1755-1315/313/1/012043