NDLI: CGCM3 predictors used for daily temperature and precipitation downscaling in Southern Québec, Canada

Content Provider	Springer Nature Link
Author	Jeong, Dae Il St Hilaire, André Ouarda, Taha B. M. J. Gachon, Philippe
Copyright Year	2011
Abstract	This study provides some guidance on the choice of predictor variables from both reanalysis products and the third version of the Canadian Coupled Global Climate Model (CGCM3) outputs for regression-based statistical downscaling models (SDMs) for climate change application in southern Québec (Canada). Twenty CGCM3 grid points and four surface observation sites in the study area were employed. Twenty-five deseasonalized predictors and four deseasonalized predictands (daily maximum and minimum temperatures, precipitation occurrence and wet day precipitation amount) were used to investigate correlation coefficients among predictors and to evaluate their predictive ability when used in a multiple linear regression (MLR) downscaling model. The basic statistical characteristics of vorticity at 1,000-, 850- and 500-hPa levels, U-component of velocity at 1,000-hPa level, temperature at 2 m (T 2) and wind direction at 1,000- and 500-hPa level of CGCM3 showed a larger difference with those of the NCEP reanalysis data. Therefore, those seven variables require high caution to be included as predictors in statistical downscaling models. Specific humidity at 1,000-, 850- and 500-hPa levels, geopotential height at 850- and 500-hPa levels and T 2 were the most sensitive predictors for future climate conditions (i.e. A1B and A2 emission scenarios). Specific humidity and geopotential height at different levels and T 2 were important explainable predictors for the daily temperatures. Mean sea level pressure, specific humidity, U and V components and divergence showed potential as predictors for daily precipitation. Spatial explained variance of MLRs between predictors of every different CGCM3 grid points and the four predictands showed large values at the CGCM3 grid points located near the observation sites, whereas relatively small values were shown at the CGCM3 grid points located more than 400 km from the sites. The explained variance of the downscaled predictands by predictors of three or four CGCM3 grid points located near the observation site produced 2–5% larger R-squares than those by predictors of the nearest grid point. The results illustrated that the use of predictors from more than one AOGCM grid points located near the observation site can increase the skill of the MLR downscaling models.
Starting Page	389
Ending Page	406
Page Count	18
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	107
Issue Number	3-4
e-ISSN	14344483
Language	English
Publisher	Springer Vienna
Publisher Date	2011-07-23
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Climate Change Meteorology/Climatology
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

Statistical downscaling of daily precipitation over Sweden using GCM output

Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China

Fuzzy rule-based downscaling of precipitation

Downscaling daily precipitation time series using a combined circulation- and regression-based approach

Statistical downscaling of regional daily precipitation over southeast Australia based on self-organizing maps

Statistical downscaling of hourly and daily climate scenarios for various meteorological variables in South-central Canada

Downscaling precipitation extremes : Correction of analog models through PDF predictions

Uncertainty analysis of statistically downscaled temperature and precipitation regimes in Northern Canada

Interannual to decadal variations of precipitation and daily maximum and daily minimum temperatures in southern Brazil

CGCM3 predictors used for daily temperature and precipitation downscaling in Southern Québec, Canada

Similar Documents

Statistical downscaling of daily precipitation over Sweden using GCM output

Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China

Fuzzy rule-based downscaling of precipitation

Downscaling daily precipitation time series using a combined circulation- and regression-based approach

Statistical downscaling of regional daily precipitation over southeast Australia based on self-organizing maps

Statistical downscaling of hourly and daily climate scenarios for various meteorological variables in South-central Canada

Downscaling precipitation extremes : Correction of analog models through PDF predictions

Uncertainty analysis of statistically downscaled temperature and precipitation regimes in Northern Canada

Interannual to decadal variations of precipitation and daily maximum and daily minimum temperatures in southern Brazil

CGCM3 predictors used for daily temperature and precipitation downscaling in Southern Québec, Canada