A statistical approach to rainfall estimation using satellites and conventional data
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

A statistical approach to rainfall estimation using satellites and conventional data

Filetype[PDF-112.98 MB]


Select the Download button to view the document
Please click the download button to view the document.
A statistical approach to rainfall estimation using satellites and conventional data
Details You May Also Like

Details:

  • Personal Author:
    Whitney, Linwood F.
  • Corporate Authors:
    United States. National Environmental Satellite Service.
  • NOAA Program & Office:
    NESDIS (National Environmental Satellite, Data, and Information Service)
  • Description:
    A statistical approach is employed in an attempt to estimate convective rainfall using both satellite and conventional data. The objective is to provide rainfall estimates in a form suitable as input to hydrologic models which forecast riverflow.

    A variety of variables derived from both satellite and conventional meteorological sources are included in the study. All variables are thought to be potentially related, either physically or empirically, to the rainfall process. From among these variables, a screening regression method selects those which best explain area-averaged rainfall.

    Among the cases studied, the relationship of each variable to rainfall is weak to poor, particularly as cases are combined. Although multivariate selections improve the relationships, inconsistency of selection develops from one case to another and from one time to another, even in the same meteorol gi cal situation. Regression equations are found to estimate the amount inadequately, even when using dependent data. These facts led to the conclusion that, at best, rainfall is not likely to be measured quaotitively by such an approach and, at worst, concern is raised about the validity of using the variables investigated to estimate rainfall.

    An IR threshold temperature of 0°C is found to effectively separate instances of rain from no rain. Even this result is tempered by the fact that all cases selected were over rather confined areas during select periods of active convection and rainfall. Given less vigorous convection but with cloud tops above the freezing level, an entirely different result may occur.

  • Keywords:
  • Series:
    NOAA technical report NESS ; 89
  • Document Type:
    Technical Report
  • Place as Subject:
    United States
  • Rights Information:
    Public domain
  • Compliance:
    Library
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files

More +

You May Also Like

Checkout today's featured content at repository.library.noaa.gov

Version 3.26