PURPLE FLOWER

Ecosystems and Climate: WorldClim Data

 

World Climate and Bio Climate Data for ForestGEO Sites

 

Sites Source: Anderson-Teixeira et al. (2014)
Last updated: August 14, 2014

 

Current and projected future climate data were downloaded from WorldClim (http://www.worldclim.org; Hijmans et al., 2005) in November 2013 at the highest available spatial resolution (30 arc-seconds for current climate; 30 seconds for future climate). Current climate is based on an interpolation of observed data, representative of 1950-2000 (v. 1.4). Future projections are based on predictions of the HadGEM2-ES model as part of the CMIP5 (IPPC Fifth Assessment) for the year 2050 (2041-2060 climatic average) under the lowest and highest emissions scenarios (RCP 2.6 and RCP 8.5, respectively). These data have been downscaled and calibrated using WorldClim’s current climate (v. 1.4) as a baseline, which makes it appropriate to compare current and future climate data from these sources (e.g., Fig. 2 in Anderson-Teixeira et al., 2014).

 

Important note:

 

Comparison of available local weather station data (Table 2 in Anderson-Teixeira et al., 2014) to WorldClim data revealed close correlation for MAT (R2 >97%). However, WorldClim data tended to systematically underestimate MAP at sites with high MAP, particularly those receiving >3000 mm yr-1 (e.g., Korup, Kuala Belalong, Sinharaja, Fushan, La Planada). Thus, WorldClim precipitation values for high precipitation sites should be considered probable underestimates.

 

Data Files

  • ForestGEO_WorldClim: Recent climate (1950-2000)
  • ForestGEO_HADGEM2_RCP26.csv: year 2050 climate projections under lowest emissions scenario considered in IPCC5 (RCP 2.6)
  • ForestGEO_HADGEM2_RCP85.csv: year 2050 climate projections under highest emissions scenario considered in IPCC5 (RCP 8.5)

Data Files Contents

 

Column

Description

Units

Id

Site ID number in Anderson-Teixeira et al. (2014)

-

Site

Site name

-

AnnualMeanTemp

Annual mean temperature

°C

MeanDiurnalRange

Mean Diurnal range (mean of monthly maxT-minT)

°C

Isothermality

Isothermality (MeanDiurnalRange / TempRangeAnnual)*100

%

TempSeasonality

Temperature seasonality (standard deviation)

°C

MaxTWarmestMonth

Maximum temperature of warmest month

°C

MinTColdestMonth

Minimum temperature of coldest month

°C

TempRangeAnnual

Temperature annual range

°C

MeanTWetQ

Mean temperature of wettest quarter

°C

MeanTDryQ

Mean temperature of driest quarter

°C

MeanTWarmQ

Mean temperature of warmest quarter

°C

MeanTColdQ

Mean temperature of coldest quarter

°C

AnnualPre

Annual precipitation

mm yr-1

PreWetMonth

Precipitation of wettest month

mm mo-1

PreDryMonth

Precipitation of driest month

mm mo-1

PreSeasonality

Precipitation seasonality (coefficient of variation)

-

PreWetQ

Precipitation of wettest quarter (3 months)

mm 3 mo-1

PreDryQ

Precipitation of driest quarter (3 months)

mm 3 mo-1

PreWarmQ

Precipitation of warmest quarter (3 months)

mm 3 mo-1

PreColdQ

Precipitation of coldest quarter (3 months)

mm 3 mo-1

 

Recent Climate (1950-2000)

 

 

RCP 2.6 Climate Projections 

 

 

 RCP 8.5 Climate Projections

 

 

How to Cite
 

Publications using these data should cite Anderson-Teixeira et al. (2014) and WorldClim (http://www.worldclim.org; Hijmans et al., 2005).

 

Citations

 

Anderson-Teixeira KJ, Davies SJ, Bennett, AC., Gonzalez-Akre EB, Muller-Landau HC, Wright SJ, et al. (2015) CTFS-ForestGEO: A worldwide network monitoring forests in an era of global change. Global Change Biology.

 

Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965– 1978.