10.6084/m9.figshare.5948404.v1
Kyla Dahlin
Kyla
Dahlin
Toby Ault
Toby
Ault
GeoTIFFs for 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation, accepted
figshare
2018
biosphere-atmosphere interactions
teleconnections
leaf area index (LAI)
global ecology
Ecological Impacts of Climate Change
2018-03-12 15:20:23
Dataset
https://figshare.com/articles/dataset/GeoTIFFs_for_Global_linkages_between_climate_variability_and_the_terrestrial_biosphere_International_Journal_of_Applied_Earth_Observations_and_Geoinformation_accepted/5948404
These are the geoTIFFs behind the map-based figures in the article and supplement for Dahlin & Ault 2018 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation. Accepted 20180226. <div><br></div><div>See paper for more details.<br><div><br></div><div><div>All figs are </div><div>- global (lat -90 to 90, lon -180 to 180) geoTIFFs</div><div>- 0.25 x 0.25 degree resolution</div><div>- GCS WGS 1984</div><div><br></div><div>Correlation figs (Fig01 and b, d, & f of supplement figs) are</div><div>- floating point</div><div>- correlation (Pearson's R) values range up to -1 to 1</div><div>- No data values are NA/NoData</div></div><div><br></div><div>Correlation temporal location figs (Fig03 and a, c, & e of supplement figs) are</div><div><br></div><div>- unsigned integers</div><div><div>- No data values are NA/NoData</div><div>- note there are no significant R2s ranging from 0-0.1 so these are not included</div><div>- unsigned integers correspond to the following table (csv):</div><div>integer value,month,coefficient of determination range</div><div>1,JAN,>= 0.4</div><div>2,JAN,0.325-0.4</div><div>3,JAN,0.25-0.325</div><div>4,JAN,0.175-0.25</div><div>5,JAN,0.1-0.175</div><div>7,FEB,>= 0.4</div><div>8,FEB,0.325-0.4</div><div>9,FEB,0.25-0.325</div><div>10,FEB,0.175-0.25</div><div>11,FEB,0.1-0.175</div><div>13,MAR,>= 0.4</div><div>14,MAR,0.325-0.4</div><div>15,MAR,0.25-0.325</div><div>16,MAR,0.175-0.25</div><div>17,MAR,0.1-0.175</div><div>19,APR,>= 0.4</div><div>20,APR,0.325-0.4</div><div>21,APR,0.25-0.325</div><div>22,APR,0.175-0.25</div><div>23,APR,0.1-0.175</div><div>25,MAY,>= 0.4</div><div>26,MAY,0.325-0.4</div><div>27,MAY,0.25-0.325</div><div>28,MAY,0.175-0.25</div><div>29,MAY,0.1-0.175</div><div>31,JUN,>= 0.4</div><div>32,JUN,0.325-0.4</div><div>33,JUN,0.25-0.325</div><div>34,JUN,0.175-0.25</div><div>35,JUN,0.1-0.175</div><div>37,JUL,>= 0.4</div><div>38,JUL,0.325-0.4</div><div>39,JUL,0.25-0.325</div><div>40,JUL,0.175-0.25</div><div>41,JUL,0.1-0.175</div><div>43,AUG,>= 0.4</div><div>44,AUG,0.325-0.4</div><div>45,AUG,0.25-0.325</div><div>46,AUG,0.175-0.25</div><div>47,AUG,0.1-0.175</div><div>49,SEP,>= 0.4</div><div>50,SEP,0.325-0.4</div><div>51,SEP,0.25-0.325</div><div>52,SEP,0.175-0.25</div><div>53,SEP,0.1-0.175</div><div>55,OCT,>= 0.4</div><div>56,OCT,0.325-0.4</div><div>57,OCT,0.25-0.325</div><div>58,OCT,0.175-0.25</div><div>59,OCT,0.1-0.175</div><div>61,NOV,>= 0.4</div><div>62,NOV,0.325-0.4</div><div>63,NOV,0.25-0.325</div><div>64,NOV,0.175-0.25</div><div>65,NOV,0.1-0.175</div><div>67,DEC,>= 0.4</div><div>68,DEC,0.325-0.4</div><div>69,DEC,0.25-0.325</div><div>70,DEC,0.175-0.25</div><div>71,DEC,0.1-0.175</div></div><div><br></div><div><br></div></div>