Evolution of Precipitation Structure During the November DYNAMO MJO Event: Cloud‐Resolving Model Intercomparison and Cross Validation Using Radar Observations

Li, Xiaowen; Janiga, Matthew A.; Wang, Shuguang; Tao, Wei‐Kuo; Rowe, Angela; Xu, Weixin; Liu, Chuntao; Matsui, Toshihisa; Zhang, Chidong

doi:10.1002/2017JD027775

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

Advanced Search
Custom Query

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:

Clear All

Query Builder

Query box

Clear All

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

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Evolution of Precipitation Structure During the November DYNAMO MJO Event: Cloud‐Resolving Model Intercomparison and Cross Validation Using Radar Observations

2018
By Li, Xiaowen ; Janiga, Matthew A. ; Wang, Shuguang ; ...
Source: Journal of Geophysical Research: Atmospheres, 123(7), 3530-3555

[PDF-5.17 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details Supporting Files You May Also Like

Details:

Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Li, Xiaowen ; Janiga, Matthew A. ; Wang, Shuguang ; Tao, Wei‐Kuo ; Rowe, Angela ; ... More +

Li, Xiaowen ; Janiga, Matthew A. ; Wang, Shuguang ; Tao, Wei‐Kuo ; Rowe, Angela ; Xu, Weixin ; Liu, Chuntao ; Matsui, Toshihisa ; Zhang, Chidong Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; PMEL (Pacific Marine Environmental Laboratory)

OAR (Oceanic and Atmospheric Research) ; PMEL (Pacific Marine Environmental Laboratory) Less -
Description:

Evolution of precipitation structures are simulated and compared with radar observations for the November Madden-Julian Oscillation (MJO) event during the DYNAmics of the MJO (DYNAMO) ﬁeld campaign. Three ground-based, ship-borne, and spaceborne precipitation radars and three cloud-resolving models (CRMs) driven by observed large-scale forcing are used to study precipitation structures at different locations over the central equatorial Indian Ocean. Convective strength is represented by 0-dBZ echo-topheights, and convective organization by contiguous 17-dBZ areas. The multi-radar and multi-model framework allows for more stringent model validations. The emphasis is on testing models ’ability to simulate subtle differences observed at different radar sites when the MJO event passed through. The results showthat CRMs forced by site-speci ﬁc large-scale forcing can reproduce not only common features in cloud
Keywords:

[+]

Atmospheric Science Earth And Planetary Sciences (miscellaneous) Geophysics Space And Planetary Science
Source:

Journal of Geophysical Research: Atmospheres, 123(7), 3530-3555
DOI:

https://doi.org/10.1002/2017JD027775
ISSN:

2169-897X;2169-8996;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:5149b5507b3136d7e0396d80e12704675100f8ccb8f56255c6e69260622425cf
Download URL:

https://repository.library.noaa.gov/view/noaa/53887/noaa_53887_DS1.pdf
File Type:

Machine readable version (XML)

xml

More +