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A High-Resolution Tropical Mesoscale Convective System Reanalysis Product
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Citation:
Citation_Information:
Originator:The Pennsylvania State University
Publication_Date:2021
Title:
A High-Resolution Tropical Mesoscale Convective System Reanalysis Product
Other_Citation_Details:
Man-Yau Chan1, Xingchao Chen1, and L. Ruby Leung2 1 Department of Meteorology and Atmospheric Science and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania 2 Atmospheric Sciences and Global Change, Pacific Northwest National Laboratory, Richland, Washington
Online_Linkage: http://www.datacommons.psu.edu
Description:
Abstract: 
The advent of modern global reanalysis products has greatly accelerated meteorological research into synoptic to planetary-scale phenomena. However, their usage in studying tropical mesoscale convective systems (MCSs) is mostly limited to supplying initial and boundary conditions to MCS-resolving simulations and providing information about the tropical MCSs’ large-scale environments. These limitations are due to the global products’ difficulties in resolving tropical MCS dynamics, and the fact that tropical MCSs often occur over ill-observed regions.
In this work, a Tropical MCS-resolving Reanalysis product (TMeCSR) was created over a region spanning the tropical Indian Ocean, tropical continental Asia, the Maritime Continent, and the Western Pacific. Tropical MCSs frequently occur in these regions. The TMeCSR is produced by assimilating all-sky infrared radiances from geostationary satellites and other conventional observations, into an MCS-resolving regional model using the Ensemble Kalman Filter (EnKF). The resulting observation-constrained high-resolution (9-km grid spacing) dataset is currently available at every hour for the three boreal summer months (June-August) of 2017.
Comparisons of the TMeCSR and ERA5 datasets against independent satellite-retrieved outgoing longwave radiation and rainfall data indicate that the TMeCSR’s multiscale cloud and rain fields are better than the ERA5’s. Furthermore, the TMeCSR better captured the diurnal variability of rainfall. Forecasts initialized from the TMeCSR also produced more accurate rain and cloud forecasts than those initialized from ERA5. The TMeCSR and ERA5 datasets had similar performances with respect to sounding and surface observations. These results indicate that the TMeCSR might be a promising MCS-resolving dataset for future tropical MCS studies.
Supplemental_Information: 
Man-Yau Chan1, Xingchao Chen1, and L. Ruby Leung2 
1 Department of Meteorology and Atmospheric Science and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania
2 Atmospheric Sciences and Global Change, Pacific Northwest National Laboratory, Richland, Washington
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Single_Date/Time:
Calendar_Date:2021
Currentness_Reference: 
publication date
Keywords:
Theme:
Theme_Keyword_Thesaurus:ISO 19115 Topic Categories
Theme_Keyword:climatologyMeteorologyAtmosphere
Theme_Keyword:environment
Theme_Keyword:Climate
Access_Constraints:None.
Use_Constraints: 
The University excludes any and all implied warranties, including warranties or merchantability and fitness for a particular purpose.
The University makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance.
The University will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
The USER is granted permission to translate and add value to the FILES for the use of the FILES on its computer hardware; provided, however, that the USER annually notify the University of any customizing or value-adding work done.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person:Xingchao Chen
Contact_Organization:Penn State
Contact_Address:
Address_Type:mailing and physical address
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Electronic_Mail_Address:xzc55@psu.edu
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Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Address:
Address_Type:mailing and physical address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:(814) 865 - 8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Distribution_Liability: 
The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
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Metadata_Reference_Information:
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Position:Metadata Coordinator
Contact_Address:
Address_Type:mailing address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:814-865-8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Metadata_Standard_Name:FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version:FGDC-STD-001-1998
Metadata_Time_Convention:local time
Metadata_Extensions:
Profile_Name:ESRI Metadata Profile
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