Spatio temporal analysis of daily precipitation and temperature in the Basin of Mexico

The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological var...

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Vydáno v:	Journal of hydrology (Amsterdam) Ročník 336; číslo 3; s. 231 - 249
Hlavní autoři:	Carrera-Hernández, J.J., Gaskin, S.J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 07.04.2007 Elsevier Science
Témata:	air temperature altitude Basin of Mexico climatic factors Earth sciences Earth, ocean, space Exact sciences and technology Hydrology. Hydrogeology Interpolation Kriging mathematics and statistics maximum temperature Mexico Mexico City minimum temperature precipitation rain Rainfall spatial variation Temperature temporal variation Mexico Rainfall Interpolation Basin of Mexico Temperature Kriging Mexico City models rainfall time variations kriging North America spatial distribution drainage basins precipitation interpolation correlation temperature spatial variations
ISSN:	0022-1694, 1879-2707
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Abstract	The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological variables (in particular precipitation) at this time scale poses a particular problem due to its large spatial variation. This work analyzes the temporal variation of both minimum and maximum temperature and rainfall, its correlation with elevation and whether or not this relationship should be used when daily data are interpolated. In order to achieve this, the monthly distribution of these variables is derived from daily interpolations, which is compared to their monthly accumulated value for each climatological station. The interpolation methods used to undertake the analysis were Ordinary Kriging (OK), Kriging with External Drift (KED), Block Kriging with External Drift (BKED), Ordinary Kriging in a local neighborhood (OK l) and Kriging with External Drift in a local neighborhood (KED l). This analysis used daily climatological data from approximately 200 stations located in the Basin of Mexico for June 1978 and June 1985, from which accumulated monthly data were derived. The results of this analysis show that the interpolation of daily events is improved by the use of elevation as a secondary variable even when these variables show a low correlation.
AbstractList	The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological variables (in particular precipitation) at this time scale poses a particular problem due to its large spatial variation. This work analyzes the temporal variation of both minimum and maximum temperature and rainfall, its correlation with elevation and whether or not this relationship should be used when daily data are interpolated. In order to achieve this, the monthly distribution of these variables is derived from daily interpolations, which is compared to their monthly accumulated value for each climatological station. The interpolation methods used to undertake the analysis were Ordinary Kriging (OK), Kriging with External Drift (KED), Block Kriging with External Drift (BKED), Ordinary Kriging in a local neighborhood (OK₁) and Kriging with External Drift in a local neighborhood (KED₁). This analysis used daily climatological data from approximately 200 stations located in the Basin of Mexico for June 1978 and June 1985, from which accumulated monthly data were derived. The results of this analysis show that the interpolation of daily events is improved by the use of elevation as a secondary variable even when these variables show a low correlation. The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological variables (in particular precipitation) at this time scale poses a particular problem due to its large spatial variation. This work analyzes the temporal variation of both minimum and maximum temperature and rainfall, its correlation with elevation and whether or not this relationship should be used when daily data are interpolated. In order to achieve this, the monthly distribution of these variables is derived from daily interpolations, which is compared to their monthly accumulated value for each climatological station. The interpolation methods used to undertake the analysis were Ordinary Kriging (OK), Kriging with External Drift (KED), Block Kriging with External Drift (BKED), Ordinary Kriging in a local neighborhood (OK l) and Kriging with External Drift in a local neighborhood (KED l). This analysis used daily climatological data from approximately 200 stations located in the Basin of Mexico for June 1978 and June 1985, from which accumulated monthly data were derived. The results of this analysis show that the interpolation of daily events is improved by the use of elevation as a secondary variable even when these variables show a low correlation. The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed scale. These models can be used to simulate hydrological processes at a daily or hourly time step and the interpolation of climatological variables (in particular precipitation) at this time scale poses a particular problem due to its large spatial variation. This work analyzes the temporal variation of both minimum and maximum temperature and rainfall, its correlation with elevation and whether or not this relationship should be used when daily data are interpolated. In order to achieve this, the monthly distribution of these variables is derived from daily interpolations, which is compared to their monthly accumulated value for each climatological station. The interpolation methods used to undertake the analysis were Ordinary Kriging (OK), Kriging with External Drift (KED), Block Kriging with External Drift (BKED), Ordinary Kriging in a local neighborhood (OK sub(l)) and Kriging with External Drift in a local neighborhood (KED sub(l)). This analysis used daily climatological data from approximately 200 stations located in the Basin of Mexico for June 1978 and June 1985, from which accumulated monthly data were derived. The results of this analysis show that the interpolation of daily events is improved by the use of elevation as a secondary variable even when these variables show a low correlation.
Author	Carrera-Hernández, J.J. Gaskin, S.J.
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Cites_doi	10.1016/0022-1694(95)02755-6 10.1016/S0098-3004(97)00082-4 10.1111/j.1752-1688.1988.tb02991.x 10.1007/BF00893171 10.1016/0168-1923(92)90114-J 10.1175/1520-0450(2001)040<1075:ACASFI>2.0.CO;2 10.1175/1520-0450(2001)040<1855:GMOPFR>2.0.CO;2 10.1111/j.1752-1688.1985.tb00147.x 10.1016/S0098-3004(00)00057-1 10.1016/j.jhydrol.2004.10.026 10.1016/j.cageo.2004.03.012 10.1111/1467-9671.00101 10.1016/S0022-1694(00)00144-X 10.1002/joc.3370140107
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Keywords	Rainfall Interpolation Basin of Mexico Temperature Kriging Mexico City models rainfall time variations kriging North America spatial distribution drainage basins precipitation interpolation correlation temperature spatial variations
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References	Pebesma (bib19) 2004; 30 Dubois (bib7) 1998; 2 Hutchinson, Galland (bib12) 1999 Martínez-Cob (bib17) 1996; 174 Bivand (bib3) 2000; 26 Demyanov, Kanevski, Chernov, Savelieva, Timonin (bib4) 1998; 2 Jarvis, Stuart (bib14) 2001; 40 R Development Core Team (bib22) 2005 Saveliev, Mucharamova, Piliugin (bib23) 1998; 2 Allard (bib1) 1998; 2 Tomczak (bib26) 1998; 2 Lloyd (bib16) 2005; 308 Hudson, Wackernagel (bib11) 1994; 14 Mitasova, Mitas (bib18) 1993; 25 Deutsch, Journel (bib5) 1998 Hofierka, Parajka, Mitasova, Mitas (bib10) 2002; 6 Tabios, Salas (bib24) 1985; 21 Kyriakidis, Kim, Miller (bib15) 2001; 40 Wackernagel (bib27) 2003 Atkinson, Lloyd (bib2) 1998; 2 Phillips, Dolph, Marks (bib21) 1992; 58 Pebesma, Wesseling (bib20) 1998; 24 Goovaerts (bib8) 1997 Goovaerts (bib9) 2000; 228 Isaaks, Srivastava (bib13) 1989 Thieken (bib25) 1998; 2 Dingman, Seely-Reynolds, Reynolds (bib6) 1988; 24 Isaaks (10.1016/j.jhydrol.2006.12.021_bib13) 1989 Deutsch (10.1016/j.jhydrol.2006.12.021_bib5) 1998 Hofierka (10.1016/j.jhydrol.2006.12.021_bib10) 2002; 6 Dubois (10.1016/j.jhydrol.2006.12.021_bib7) 1998; 2 Demyanov (10.1016/j.jhydrol.2006.12.021_bib4) 1998; 2 Pebesma (10.1016/j.jhydrol.2006.12.021_bib20) 1998; 24 Hutchinson (10.1016/j.jhydrol.2006.12.021_bib12) 1999 Dingman (10.1016/j.jhydrol.2006.12.021_bib6) 1988; 24 Saveliev (10.1016/j.jhydrol.2006.12.021_bib23) 1998; 2 Allard (10.1016/j.jhydrol.2006.12.021_bib1) 1998; 2 Martínez-Cob (10.1016/j.jhydrol.2006.12.021_bib17) 1996; 174 Kyriakidis (10.1016/j.jhydrol.2006.12.021_bib15) 2001; 40 Tomczak (10.1016/j.jhydrol.2006.12.021_bib26) 1998; 2 Lloyd (10.1016/j.jhydrol.2006.12.021_bib16) 2005; 308 Pebesma (10.1016/j.jhydrol.2006.12.021_bib19) 2004; 30 R Development Core Team (10.1016/j.jhydrol.2006.12.021_bib22) 2005 Bivand (10.1016/j.jhydrol.2006.12.021_bib3) 2000; 26 Goovaerts (10.1016/j.jhydrol.2006.12.021_bib8) 1997 Thieken (10.1016/j.jhydrol.2006.12.021_bib25) 1998; 2 Atkinson (10.1016/j.jhydrol.2006.12.021_bib2) 1998; 2 Wackernagel (10.1016/j.jhydrol.2006.12.021_bib27) 2003 Tabios (10.1016/j.jhydrol.2006.12.021_bib24) 1985; 21 Phillips (10.1016/j.jhydrol.2006.12.021_bib21) 1992; 58 Mitasova (10.1016/j.jhydrol.2006.12.021_bib18) 1993; 25 Hudson (10.1016/j.jhydrol.2006.12.021_bib11) 1994; 14 Jarvis (10.1016/j.jhydrol.2006.12.021_bib14) 2001; 40 Goovaerts (10.1016/j.jhydrol.2006.12.021_bib9) 2000; 228
References_xml	– volume: 6 start-page: 135 year: 2002 end-page: 150 ident: bib10 article-title: Multivariate interpolation of precipitation using regularized spline with tension publication-title: Transactions in GIS – year: 1997 ident: bib8 article-title: Geostatistics For Natural Resources Evaluation – volume: 2 start-page: 18 year: 1998 end-page: 30 ident: bib26 article-title: Spatial interpolation and its uncertainty using automated anisotropic inverse distance weighting (IDW) – cross validation/jacknife approach publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 87 year: 1998 end-page: 101 ident: bib1 article-title: Geostatistical classification and class Kriging publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 34 year: 1998 end-page: 58 ident: bib4 article-title: Neural network residual kriging application for climatic data publication-title: Journal of Geographic Information and Decision Analysis – volume: 40 start-page: 1075 year: 2001 end-page: 1084 ident: bib14 article-title: A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: The interaction between number of guiding variables and the type of interpolation method publication-title: Journal of Applied Meteorology – volume: 30 start-page: 683 year: 2004 end-page: 691 ident: bib19 article-title: Multivariable geostatistics in S: the GSTAT package publication-title: Computers and Geosciences – year: 1999 ident: bib12 article-title: Representation of terrain publication-title: Geographical Information Systems – volume: 2 start-page: 62 year: 1998 end-page: 71 ident: bib23 article-title: Modeling of the daily rainfall values using surface under tension and Kriging publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 86 year: 1998 end-page: 99 ident: bib25 article-title: Estimating daily regional rainfall fields by multiqadric functions: Accuracy of interpolation and decision making publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 1 year: 1998 end-page: 10 ident: bib7 article-title: Spatial interpolation comparison 97: foreword and introduction publication-title: Journal of Geographic Information and Decision Analysis – volume: 14 start-page: 77 year: 1994 end-page: 91 ident: bib11 article-title: Mapping temperature using Kriging with external drift: theory and example from Scotland publication-title: International Journal of Climatology – volume: 25 start-page: 41 year: 1993 end-page: 655 ident: bib18 article-title: Interpolation by regularized spline with tension: I. Theory and implementation publication-title: Mathematical Geology – volume: 26 start-page: 1043 year: 2000 end-page: 1052 ident: bib3 article-title: Using the publication-title: Computers and Geosciences – volume: 308 start-page: 28 year: 2005 end-page: 150 ident: bib16 article-title: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain publication-title: Journal of Hydrology – year: 1989 ident: bib13 article-title: An Introduction to Applied Geostatistics – year: 2005 ident: bib22 publication-title: A Language and Environment for Statistical Computing – volume: 40 start-page: 855 year: 2001 end-page: 1877 ident: bib15 article-title: Geostatistical mapping of precipitation from rain gauge data using atmospheric and terrain characteristics publication-title: Journal of Applied Meteorology – volume: 2 start-page: 65 year: 1998 end-page: 76 ident: bib2 article-title: Mapping precipitation in Switzerland with ordinary and indicator Kriging publication-title: Journal of Geographic Information and Decision Analysis – year: 1998 ident: bib5 article-title: GSLIB: Geostatistical Software Library and User’s Guide – volume: 24 start-page: 329 year: 1988 end-page: 339 ident: bib6 article-title: Application of Kriging to estimate mean annual precipitation in a region of orographic influence publication-title: Water Research Bulletin – volume: 58 start-page: 119 year: 1992 end-page: 141 ident: bib21 article-title: A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain publication-title: Agricultural and Forest Meteorology – volume: 21 start-page: 365 year: 1985 end-page: 380 ident: bib24 article-title: A comparative analysis of techniques for spatial interpolation of precipitation publication-title: Water Resources Bulletin – volume: 228 start-page: 113 year: 2000 end-page: 129 ident: bib9 article-title: Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall publication-title: Journal of Hydrology – volume: 24 start-page: 17 year: 1998 end-page: 31 ident: bib20 article-title: GSTAT: a program for geostatistical modelling, prediction and simulation publication-title: Computers and Geosciences – year: 2003 ident: bib27 article-title: Multivariate geostatistics: An introduction with applications – volume: 174 start-page: 9 year: 1996 end-page: 35 ident: bib17 article-title: Multivariate geostatistical analysis of evapotranspiration and precipitation in mountainous terrain publication-title: Journal of Hydrology – volume: 174 start-page: 9 year: 1996 ident: 10.1016/j.jhydrol.2006.12.021_bib17 article-title: Multivariate geostatistical analysis of evapotranspiration and precipitation in mountainous terrain publication-title: Journal of Hydrology doi: 10.1016/0022-1694(95)02755-6 – volume: 24 start-page: 17 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib20 article-title: GSTAT: a program for geostatistical modelling, prediction and simulation publication-title: Computers and Geosciences doi: 10.1016/S0098-3004(97)00082-4 – volume: 24 start-page: 329 year: 1988 ident: 10.1016/j.jhydrol.2006.12.021_bib6 article-title: Application of Kriging to estimate mean annual precipitation in a region of orographic influence publication-title: Water Research Bulletin doi: 10.1111/j.1752-1688.1988.tb02991.x – volume: 25 start-page: 41 year: 1993 ident: 10.1016/j.jhydrol.2006.12.021_bib18 article-title: Interpolation by regularized spline with tension: I. Theory and implementation publication-title: Mathematical Geology doi: 10.1007/BF00893171 – volume: 2 start-page: 34 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib4 article-title: Neural network residual kriging application for climatic data publication-title: Journal of Geographic Information and Decision Analysis – volume: 58 start-page: 119 year: 1992 ident: 10.1016/j.jhydrol.2006.12.021_bib21 article-title: A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain publication-title: Agricultural and Forest Meteorology doi: 10.1016/0168-1923(92)90114-J – volume: 40 start-page: 1075 year: 2001 ident: 10.1016/j.jhydrol.2006.12.021_bib14 article-title: A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: The interaction between number of guiding variables and the type of interpolation method publication-title: Journal of Applied Meteorology doi: 10.1175/1520-0450(2001)040<1075:ACASFI>2.0.CO;2 – volume: 2 start-page: 86 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib25 article-title: Estimating daily regional rainfall fields by multiqadric functions: Accuracy of interpolation and decision making publication-title: Journal of Geographic Information and Decision Analysis – volume: 40 start-page: 855 year: 2001 ident: 10.1016/j.jhydrol.2006.12.021_bib15 article-title: Geostatistical mapping of precipitation from rain gauge data using atmospheric and terrain characteristics publication-title: Journal of Applied Meteorology doi: 10.1175/1520-0450(2001)040<1855:GMOPFR>2.0.CO;2 – year: 1997 ident: 10.1016/j.jhydrol.2006.12.021_bib8 – year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib5 – year: 1999 ident: 10.1016/j.jhydrol.2006.12.021_bib12 article-title: Representation of terrain – year: 2003 ident: 10.1016/j.jhydrol.2006.12.021_bib27 – volume: 21 start-page: 365 issue: 3 year: 1985 ident: 10.1016/j.jhydrol.2006.12.021_bib24 article-title: A comparative analysis of techniques for spatial interpolation of precipitation publication-title: Water Resources Bulletin doi: 10.1111/j.1752-1688.1985.tb00147.x – volume: 26 start-page: 1043 year: 2000 ident: 10.1016/j.jhydrol.2006.12.021_bib3 article-title: Using the R statistical data analysis language on GRASS 5.0 GIS database files publication-title: Computers and Geosciences doi: 10.1016/S0098-3004(00)00057-1 – volume: 2 start-page: 87 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib1 article-title: Geostatistical classification and class Kriging publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 1 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib7 article-title: Spatial interpolation comparison 97: foreword and introduction publication-title: Journal of Geographic Information and Decision Analysis – volume: 308 start-page: 28 year: 2005 ident: 10.1016/j.jhydrol.2006.12.021_bib16 article-title: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain publication-title: Journal of Hydrology doi: 10.1016/j.jhydrol.2004.10.026 – volume: 2 start-page: 18 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib26 article-title: Spatial interpolation and its uncertainty using automated anisotropic inverse distance weighting (IDW) – cross validation/jacknife approach publication-title: Journal of Geographic Information and Decision Analysis – year: 2005 ident: 10.1016/j.jhydrol.2006.12.021_bib22 – volume: 30 start-page: 683 year: 2004 ident: 10.1016/j.jhydrol.2006.12.021_bib19 article-title: Multivariable geostatistics in S: the GSTAT package publication-title: Computers and Geosciences doi: 10.1016/j.cageo.2004.03.012 – volume: 6 start-page: 135 issue: 2 year: 2002 ident: 10.1016/j.jhydrol.2006.12.021_bib10 article-title: Multivariate interpolation of precipitation using regularized spline with tension publication-title: Transactions in GIS doi: 10.1111/1467-9671.00101 – volume: 228 start-page: 113 year: 2000 ident: 10.1016/j.jhydrol.2006.12.021_bib9 article-title: Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall publication-title: Journal of Hydrology doi: 10.1016/S0022-1694(00)00144-X – volume: 2 start-page: 62 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib23 article-title: Modeling of the daily rainfall values using surface under tension and Kriging publication-title: Journal of Geographic Information and Decision Analysis – volume: 2 start-page: 65 year: 1998 ident: 10.1016/j.jhydrol.2006.12.021_bib2 article-title: Mapping precipitation in Switzerland with ordinary and indicator Kriging publication-title: Journal of Geographic Information and Decision Analysis – year: 1989 ident: 10.1016/j.jhydrol.2006.12.021_bib13 – volume: 14 start-page: 77 year: 1994 ident: 10.1016/j.jhydrol.2006.12.021_bib11 article-title: Mapping temperature using Kriging with external drift: theory and example from Scotland publication-title: International Journal of Climatology doi: 10.1002/joc.3370140107
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Snippet	The spatial distribution of climatological variables such as rainfall and temperature is needed whenever hydrological modelling is undertaken at the watershed...
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SubjectTerms	air temperature altitude Basin of Mexico climatic factors Earth sciences Earth, ocean, space Exact sciences and technology Hydrology. Hydrogeology Interpolation Kriging mathematics and statistics maximum temperature Mexico Mexico City minimum temperature precipitation rain Rainfall spatial variation Temperature temporal variation
Title	Spatio temporal analysis of daily precipitation and temperature in the Basin of Mexico
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