A geostatistics-assisted approach to the deterministic approximation of climate data

[1]  B. Geerts,et al.  Estimating the annual mean screen temperature empirically , 2002 .

[2]  John O. Carter,et al.  Using spatial interpolation to construct a comprehensive archive of Australian climate data , 2001, Environ. Model. Softw..

[3]  H. Wackernagle,et al.  Multivariate geostatistics: an introduction with applications , 1998 .

[4]  K. Davis,et al.  Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data , 2010 .

[5]  M. Rummukainen.  State‐of‐the‐art with regional climate models , 2010 .

[6]  Testing goodness-of-fit for nonlinear regression models with heterogeneous variances , 1997 .

[7]  Tiziana Simoniello,et al.  Temporal persistence in vegetation cover changes observed from satellite: Development of an estimation procedure in the test site of the Mediterranean Italy , 2004 .

[8]  Hans Wackernagel,et al.  Multivariate Geostatistics: An Introduction with Applications , 1996 .

[9]  P. Mote,et al.  Surface temperature lapse rates over complex terrain: Lessons from the Cascade Mountains , 2010 .

[10]  Nan Zhongren,et al.  Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China , 2005 .

[11]  H. Storch,et al.  Regional climate models add value to global model data, A Review and Selected Examples , 2011 .

[12]  P. Ciais,et al.  Variations in satellite‐derived phenology in China's temperate vegetation , 2006 .

[13]  P. North,et al.  Satellite-driven modelling of Net Primary Productivity (NPP): Theoretical analysis , 2009 .

[14]  L. Vogt.  Statistics For Spatial Data , 2016 .

[15]  M. Hutchinson,et al.  Optimizing Input Data for Gridding Climate Normals for Canada , 2012 .

[16]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[17]  H. Wackernagel,et al.  Mapping temperature using kriging with external drift: Theory and an example from scotland , 1994 .

[18]  Tiziana Simoniello,et al.  Estimation of vegetation cover resilience from satellite time series , 2008 .

[19]  P. Jones,et al.  Hemispheric and large-scale land-surface air temperature variations: An extensive revision and an update to 2010: LAND-SURFACE TEMPERATURE VARIATIONS , 2012 .

[20]  Thomas A. Huld,et al.  Estimating average daytime and daily temperature profiles within Europe , 2006, Environ. Model. Softw..

[21]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[22]  Anders Moberg,et al.  Daily dataset of 20th‐century surface air temperature and precipitation series for the European Climate Assessment , 2002 .

[23]  Hao Zhang,et al.  A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China , 2012, Environ. Model. Softw..

[24]  Yangbing Li,et al.  The characteristics of temperature variability with terrain, latitude and longitude in Sichuan-Chongqing Region , 2012, Journal of Geographical Sciences.

[25]  Penelope A. Hancock,et al.  Spatial interpolation of large climate data sets using bivariate thin plate smoothing splines , 2006, Environ. Model. Softw..

[26]  Peter A. Stott,et al.  Sensitivity of the attribution of near surface temperature warming to the choice of observational dataset , 2011 .

[27]  C. Daly,et al.  Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States , 2008 .

[28]  Jorge E. Pinzón,et al.  Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global Scales , 2013, Remote. Sens..

[29]  E. Linacre,et al.  Climate Data and Resources: A Reference and Guide , 2003 .

[30]  P. Jones,et al.  Hemispheric and Large-Scale Surface Air Temperature Variations: An Extensive Revision and an Update to 2001. , 2003 .

[31]  D. Jacob,et al.  Error characteristics of high resolution regional climate models over the Alpine area , 2011 .

[32]  Eugene Demidenko,et al.  Criteria for global minimum of sum of squares in nonlinear regression , 2006, Comput. Stat. Data Anal..

[33]  H. Mooney,et al.  Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.

[34]  R. H. Shaw.  The Climate Near the Ground , 1957 .

[35]  P. Jones,et al.  Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850 , 2006 .

[36]  V. Cuomo,et al.  Discriminating low frequency components from long range persistent fluctuations in daily atmospheric temperature variability , 2009 .

[37]  D. Ruppert,et al.  Likelihood ratio tests for goodness-of-fit of a nonlinear regression model , 2004 .

[38]  Simoniello Tiziana,et al.  Correlation of Vegetation and Air Temperature Seasonal Profiles - Spatial Arrangement and Temporal Variability , 2012 .

[39]  R. Betts,et al.  Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model , 2000, Nature.