World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Logit-normal Mixed Model for Indian Monsoon Rainfall Extremes : Volume 1, Issue 1 (13/03/2014)

By Dietz, L. R.

Click here to view

Book Id: WPLBN0004020089
Format Type: PDF Article :
File Size: Pages 41
Reproduction Date: 2015

Title: Logit-normal Mixed Model for Indian Monsoon Rainfall Extremes : Volume 1, Issue 1 (13/03/2014)  
Author: Dietz, L. R.
Volume: Vol. 1, Issue 1
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Dietz, L. R., & Chatterjee, S. (2014). Logit-normal Mixed Model for Indian Monsoon Rainfall Extremes : Volume 1, Issue 1 (13/03/2014). Retrieved from http://hawaiilibrary.net/


Description
Description: University of Minnesota, School of Statistics, Minneapolis, Minnesota, USA. Describing the nature and variability of Indian monsoon rainfall extremes is a topic of much debate in the current literature. We suggest the use of a generalized linear mixed model (GLMM), specifically, the logit-normal mixed model, to describe the underlying structure of this complex climatic event. Several GLMM algorithms are described and simulations are performed to vet these algorithms before applying them to the Indian precipitation data procured from the National Climatic Data Center. The logit-normal model was applied with fixed covariates of latitude, longitude, elevation, daily minimum and maximum temperatures with a random intercept by weather station. In general, the estimation methods concurred in their suggestion of a relationship between the El Niño Southern Oscillation (ENSO) and extreme rainfall variability estimates. This work provides a valuable starting point for extending GLMM to incorporate the intricate dependencies in extreme climate events.

Summary
Logit-normal mixed model for Indian Monsoon rainfall extremes

Excerpt
Attri, S. D. and Tyagi, A.: Climate Profile of India, Tech. rep., Government of India, Ministry of Earth Sciences, India Meteorological Department, 2010.; Breslow, N. and Clayton, D.: Approximate inference in generalized linear mixed models, J. Am. Stat. Assoc.,88, 9–25, 1993.; Ghosh, S., Luniya, V., and Gupta, A.: Trend analysis of Indian summer monsoon rainfall at different spatial scales, Atmos. Sci. Lett., 10, 285–290, 2009.; Bates, D.: lme4: Mixed-Effects Modeling lme4: Mixed-Effects Modeling with R, Springer, available at: http://lme4.r-forge.r-project.org/lMMwR/lrgprt.pdf, preprint, 2010.; Ghosh, S., Das, D., Kao, S.-C., and Ganguly, A. R.: Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes, Nat. Clim. Change, 2, 86–91, 2012.; Goswami, B., Venugopal, V., Sengupta, D., Madhusoodanan, M. S., and Xavier, P. K.: Increasing trend of extreme rain events over India in a warming environment, Science, 314, 1442–1445, 2006.; Jiang, J.: Consistent estimators in generalized linear mixed models, J. Am. Stat. Assoc., 93, 720–729, 1998.; Kumar, K. K., Rajagopalan, B., and Cane, M. A.: On the weakening relationship between the Indian Monsoon and ENSO, Science, 284, 2156–2159, 1999.; Lele, S. R., Nadeem, K., and Schumuland, B.: Estimability and likelihood inference for generalized linear mixed models using data cloning, J. Am. Stat. Assoc., 105, 1617–1625, 2010.; Li, C. and Yanai, M.: The onset and interannual variability of the Asian summer monsoon in relation to land sea thermal contrast, J. Climate, 9, 358–375, 1996.; Lin, X. and Breslow, N. E.: Bias correction in generalized linear mixed models with multiple components of dispersion, J. Am. Stat. Assoc., 91, 1007–1016, 1996.; McCulloh, C. E. and Searle, S. R.: Generalized, Linear, and Mixed Models, Wiley Series in Probability and Statistics, 2 Edn., Wiley, 2010.; Prell, W. L. and Kutzback, J. E.: Sensitivity of the indian monsoon to forcing parameters and implications for its evolution, Nature, 360, 647–652, 1992.; Solymos, P.: dclone: data cloning in R, The R Journal, 2, 29–37, 2010.; Stiratelli, R., Laird, N., and Ware, J. H.: Random-effects models for serial observations with binary response, Biometrics, 40, 961–971, 1984.; Tierney, L. and Kadane, J. B.: Accurate approximations for posterior moments and marginal densities, J. Am. Stat. Assoc., 81, 82–86, 1986.; Turner, A. G. and Annamalai, H.: Climate change and the South Asian summer monsoon, Nat. Clim. Change, 2, 587–595, 2012.

 

Click To View

Additional Books


  • Diagnostics of Solar Flare Reconnection ... (by )
  • Characterizing the Nonlinear Internal Wa... (by )
  • Controlling Balance in an Ensemble Kalma... (by )
  • Hysteresis-controlled Instability Waves ... (by )
  • Controlling Instabilities Along a 3Dvar ... (by )
  • Parameter Variations in Prediction Skill... (by )
  • Jump Conditions for Pressure Anisotropy ... (by )
  • Site Effect Classification Based on Micr... (by )
  • Nonlinear Interaction Between Acoustic G... (by )
  • Width Dependent Collisionless Electron D... (by )
  • A Tri-stage Cluster Identification Model... (by )
  • Combining 2-m Temperature Nowcasting and... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.