Table 1 Results of MK/m-MK and ITA analysis of maximum temperature for ACZ’s of India.

From: Innovative and polygonal trend analysis of temperature in agro climatic zones of India

ACZ

Parameter

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

NOV

DEC

EPH

SS

0.171

0.361

0.736

0.998

− 0.359

− 0.616

0.969*

1.111*

1.384*

1.365*

1.673*

0.856

SITA

0.306*

1.055*

0.424*

0.801*

− 0.537*

− 0.807*

0.964*

1.128*

1.311*

1.077*

1.614*

0.892*

MGP

SS

− 2.165*

− 0.346

0.115

− 0.058

− 2.144*

− 0.151

1.231*

1.723*

1.273*

0.751

0.660

− 0.510

SITA

− 2.461*

0.569*

− 0.274*

0.244*

− 1.632*

− 0.296*

1.243*

1.498*

1.143*

0.762*

0.915*

− 0.717*

TGP

SS

− 2.143*

− 0.112

0.345

1.608

0.256

− 1.264

0.256

1.121*

0.632

0.353

0.079

-0.636

SITA

− 2.091*

0.384*

0.513*

2.111*

0.472*

− 1.386*

0.761*

1.122*

0.311*

0.374*

0.203*

− 0.605*

UGP

SS

− 2.508*

− 0.548

0.562

1.241

− 1.170

− 1.255

0.688

1.472*

0.846

0.601

− 0.058

− 0.659

SITA

− 2.647*

0.388*

0.324*

1.319*

− 0.832*

− 1.302*

1.065*

1.608*

0.835*

0.692*

0.270*

− 0.912*

WDR

SS

0.003

1.329

1.800

2.912*

1.672*

0.939

1.295

1.352*

1.787

1.156

0.917

0.608

SITA

0.427*

2.062*

1.757*

2.710*

1.689*

0.942*

1.527*

1.835*

1.659*

1.236*

1.188*

0.981*

CPH

SS

− 0.837

0.110

1.080

2.114*

0.889

0.279

0.635

1.152*

1.676*

1.187

0.935

0.033

SITA

− 0.521*

0.962*

0.778*

1.946*

0.918*

0.091*

1.012*

1.607*

1.436*

1.282*

1.221*

0.343*

ECP

SS

1.661*

1.346*

1.567*

1.709*

1.315*

0.630

1.583*

1.430*

1.315*

1.675*

1.644*

1.655*

SITA

1.793*

1.583*

1.597*

1.450*

0.665*

0.456*

1.438*

1.207*

1.328*

1.406*

1.621*

1.579*

GPH

SS

0.064

1.040

1.460*

1.849*

0.707

1.326*

0.660

1.033*

1.293

0.812

0.618

0.126

SITA

0.620*

1.425*

1.317*

1.601*

0.737*

1.394*

0.711*

1.448*

1.228*

1.007*

1.152*

0.562*

WCP

SS

1.846*

1.825*

1.820*

1.854*

1.877*

1.362*

1.803*

1.652*

1.552*

1.810*

1.747*

1.768*

SITA

2.016*

1.992*

1.669*

1.594*

1.483*

1.391*

1.772*

1.729*

1.686*

1.607*

1.781*

1.656*

SPH

SS

1.963*

1.397*

1.625*

1.872*

1.717*

0.939

1.482*

1.271*

1.042*

1.551*

1.937*

2.015*

SITA

2.194*

1.618*

1.550*

1.486*

1.127*

0.984*

1.447*

1.197*

1.209*

1.250*

1.886*

1.993*

WPH

SS

0.436

0.119

1.148

1.833*

1.271*

0.126

0.051

0.773*

0.937

1.030

1.351*

0.877

SITA

0.612*

0.707*

0.666*

1.414*

0.795*

− 0.012*

0.108*

0.923*

0.803*

0.658*

1.622*

1.039*

WHR

SS

− 2.102*

− 1.248

− 0.663

− 0.567

− 1.408

− 2.436*

0.499

1.220*

0.521

− 0.233

− 1.320*

− 1.519*

SITA

− 1.621*

− 0.470*

− 0.221*

0.150*

− 0.933*

− 2.248*

0.689*

1.072*

0.352*

− 0.032*

− 0.413*

− 0.434*

LGP

SS

− 1.945*

− 0.450

− 0.247

− 1.234

− 1.679*

0.300

1.453*

1.586*

1.281*

1.157*

0.905*

− 1.017*

SITA

− 2.434*

− 0.087*

− 0.710*

− 1.180*

− 1.698*

0.015*

1.213*

1.365*

1.027*

0.767*

0.679*

− 0.960*

EHR

SS

1.008

1.474

1.048

− 0.805

0.612

1.644*

1.706*

1.920*

1.467*

2.296*

2.687*

1.756*

SITA

0.839*

1.756*

0.168*

− 0.884*

0.515*

1.398*

1.461*

1.628*

1.515*

2.061*

2.396*

1.900*

  1. SS : Sen’s Slope, SITA : Slope of ITA. *Significant at 5%; Bold font in SS indicates auto correlated data where m-MK is used.
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