Full Metadata

Nonlinear Impacts of Surface Exchange Coefficient Uncertainty on Tropical Cyclone Intensity and Air-Sea Interactions

• Identification_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator:The Pennsylvania State University

Publication_Date:2019

Title:

Nonlinear Impacts of Surface Exchange Coefficient Uncertainty on Tropical Cyclone Intensity and Air-Sea Interactions

Online_Linkage: http://www.datacommons.psu.edu

Description:

Abstract:

Tropical cyclone maximum intensity is believed to result from a balance between the surface friction, which removes energy, and a temperature/moisture (enthalpy) difference between the sea surface and the air above it, which adds energy. The competing processes near the air-sea interface are controlled by both the near surface wind speed and the surface momentum (Cd) and enthalpy flux (Ck) coefficients. Unfortunately, these coefficients are currently highly uncertain at high wind speeds. Tropical cyclone winds also apply a force on the ocean surface, which results in ocean surface cooling through vertical mixing. Using coupled atmosphere-ocean and uncoupled (atmosphere only) ensemble simulations we explore the complex influence of uncertain surface exchange coefficients on storm induced ocean feedbacks and tropical cyclone intensity. We find that the magnitude of ocean cooling increases with storm intensity and Cd. Additionally, the forecasted maximum wind speed uncertainty does not necessarily decrease when ocean feedbacks are considered.   

Supplemental_Information:

Key Points:

1. Tropical cyclone induced ocean feedbacks have a negative impact on the simulated intensity of hurricane Patricia (2015).

2. Both simulated tropical cyclone intensity and the model parametrized surface drag coefficient impact the degree of storm induced ocean cooling.

3. The intensity forecast uncertainty is not automatically reduced in coupled ocean-atmosphere simulations when uncertainty to the surface drag coefficient exists.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date:2019

Currentness_Reference:

publication date

Keywords:

Theme:

Theme_Keyword_Thesaurus:ISO 19115 Topic Categories

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_Organization_Primary:

Contact_Organization:Penn State

Contact_Person:Robert G. Nystrom

Contact_Position:Department of Meteorology

Contact_Address:

Address_Type:mailing address

Address:

601 Walker Building

City:University Park

State_or_Province:Pennsylvania

Postal_Code:16802

Country:USA

Contact_Electronic_Mail_Address:rnystrom@psu.edu

Contact Instructions:

Robert G. Nystrom - Department of Meteorology and Atmospheric Science, and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania, USA

Xingchao Chen - Department of Meteorology and Atmospheric Science, and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania, USA

Fuqing Zhang - Department of Meteorology and Atmospheric Science, and Center for Advanced Data Assimilation and Predictability Techniques, The Pennsylvania State University, University Park, Pennsylvania, USA

Christopher A. Davis - Mesoscale and Microscale Meteorology Division, The National Center for Atmospheric Research, Boulder, Colorado, USA

Native_Data_Set_Environment:

Distribution_Information:

Distributor:

Contact_Information:

Contact_Person_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.

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