NDLI: The simulation of cutoff lows in a regional climate model: reliability and future trends

Content Provider	Springer Nature Link
Author	Grose, Michael R. Pook, Michael J. McIntosh, Peter C. Risbey, James S. Bindoff, Nathaniel L.
Copyright Year	2012
Abstract	Cutoff lows are an important source of rainfall in the mid-latitudes that climate models need to simulate accurately to give confidence in climate projections for rainfall. Coarse-scale general circulation models used for climate studies show some notable biases and deficiencies in the simulation of cutoff lows in the Australian region and important aspects of the broader circulation such as atmospheric blocking and the split jet structure observed over Australia. The regional climate model conformal cubic atmospheric model or CCAM gives an improvement in some aspects of the simulation of cutoffs in the Australian region, including a reduction in the underestimate of the frequency of cutoff days by more than 15 % compared to a typical GCM. This improvement is due at least in part to substantially higher resolution. However, biases in the simulation of the broader circulation, blocking and the split jet structure are still present. In particular, a northward bias in the central latitude of cutoff lows creates a substantial underestimate of the associated rainfall over Tasmania in April to October. Also, the regional climate model produces a significant north–south distortion of the vertical profile of cutoff lows, with the largest distortion occurring in the cooler months that was not apparent in GCM simulations. The remaining biases and presence of new biases demonstrates that increased horizontal resolution is not the only requirement in the reliable simulation of cutoff lows in climate models. Notwithstanding the biases in their simulation, the regional climate model projections show some responses to climate warming that are noteworthy. The projections indicate a marked closing of the split jet in winter. This change is associated with changes to atmospheric blocking in the Tasman Sea, which decreases in June to November (by up to 7.9 m s−1), and increases in December to May. The projections also show a reduction in the number of annual cutoff days by 67 % over the century, together with an increase in their intensity, and these changes are strongest in spring and summer.
Starting Page	445
Ending Page	459
Page Count	15
File Format	PDF
ISSN	09307575
Journal	Climate Dynamics
Volume Number	39
Issue Number	1-2
e-ISSN	14320894
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-05-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cutoff low Atmospheric blocking Split jet Climate models Climate change Regional climate models Meteorology/Climatology Geophysics/Geodesy Oceanography
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Atmospheric blocking and its relation to jet changes in a future climate

Future changes in cyclone climatology over Europe as inferred from a regional climate simulation

Application of blocking diagnosis methods to General Circulation Models. Part II: model simulations

Simulating future Caspian sea level changes using regional climate model outputs

Future change of climate in South America in the late twenty-first century: intercomparison of scenarios from three regional climate models

Consistency of observed winter precipitation trends in northern Europe with regional climate change projections

Regional climate change patterns identified by cluster analysis

The contribution of snow condition trends to future ground climate

Climate change in Central America and Mexico: regional climate model validation and climate change projections

The simulation of cutoff lows in a regional climate model: reliability and future trends

Similar Documents

Atmospheric blocking and its relation to jet changes in a future climate

Future changes in cyclone climatology over Europe as inferred from a regional climate simulation

Application of blocking diagnosis methods to General Circulation Models. Part II: model simulations

Simulating future Caspian sea level changes using regional climate model outputs

Future change of climate in South America in the late twenty-first century: intercomparison of scenarios from three regional climate models

Consistency of observed winter precipitation trends in northern Europe with regional climate change projections

Regional climate change patterns identified by cluster analysis

The contribution of snow condition trends to future ground climate

Climate change in Central America and Mexico: regional climate model validation and climate change projections

The simulation of cutoff lows in a regional climate model: reliability and future trends