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ClimateMalaysia

 

Tongli Wang

Faculty of Forestry, University of British Columbia

 

 

November 15, 2017

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Contents

About this program.. 1

Climate variables. 1

Forest types in Malaysia. 4

How to refer 4

Acknowledgements. 5

 

 

About this program

 

ClimateMalaysia is a Google map based web platform for access and visualize climate and forest type information for historical and future periods. Users can obtain a large number of climate variables for specific locations while visualizing spatial patterns of major climate variables or forest types in Malaysia.

 

The climate data generated in this platform are scale-free (i.e., location specific) and available for historical (1901-2015) and future (2011-2100) years and periods. For detail, please refer our recent paper describing ClimateAP (Wang et al. 2017, DOI: 10.15302/J-FASE-2017172).

 

Climate variables

1)      Annual variables:

Directly calculated variables:

MAT               mean annual temperature (°C),

MWMT           mean warmest month temperature (°C),

MCMT            mean coldest month temperature (°C),

TD                   temperature difference between MWMT and MCMT, or continentality (°C),

MAP               mean annual precipitation (mm),

MSP                mean summer (May to Sept.) precipitation (mm),

AHM               annual heat:moisture index (MAT+10)/(MAP/1000))

     

Derived variables:

DD<0 (DD_0)             degree-days below 0°C, chilling degree-days

DD>5 (DD5)               degree-days above 5°C, growing degree-days

DD<18 (DD_18)         degree-days below 18°C, heating degree-days

DD>18 (DD18)           degree-days above 18°C, cooling degree-days

NFFD              the number of frost-free days

PAS                 precipitation as snow (mm) between August in previous year and                                                    July in current year

EMT                extreme minimum temperature over 30 years. For an individual year, the EMT is estimated for the 30-year normal period where the individual year is centred.

EXT    extreme maximum temperature over 30 years. For an individual year, the EXT is estimated for the 30-year normal period where the individual year is centred.

Eref                 Hargreaves reference evaporation

CMD               Hargreaves climatic moisture deficit

 

2) Seasonal variables:

Tave_DJF        winter (Dec.(prev. yr) - Feb.) mean temperature (°C)

Tave_MAM    spring (Mar. - May) mean temperature (°C)

Tave_JJA        summer (Jun. - Aug.) mean temperature (°C)

Tave_SON      autumn (Sep. - Nov.) mean temperature (°C)

Tmax_DJF      winter mean maximum temperature (°C)

Tmax_MAM   spring mean maximum temperature (°C)

Tmax_JJA       summer mean maximum temperature (°C)

Tmax_SON     autumn mean maximum temperature (°C)

 

Tmin_DJF       winter mean minimum temperature (°C)

Tmin_MAM    spring mean minimum temperature (°C)

Tmin_JJA        summer mean minimum temperature (°C)

Tmin_SON      autumn mean minimum temperature (°C)

PPT_DJF         winter precipitation (mm)

PPT_MAM     spring precipitation (mm)

PPT_JJA         summer precipitation (mm)

PPT_SON       autumn precipitation (mm)

 

3) Monthly variables

Tave01 – Tave12        January - December mean temperatures (°C)

Tmax1 – Tmax12       January - December maximum mean temperatures (°C)

Tmin01 – Tmin12       January - December minimum mean temperatures (°C)

PPT01 – PPT12          January - December precipitation (mm)

DD_0_01 – DD_0_12   January - December degree-days below 0°C

DD5_01 – DD5_12     January - December degree-days above 5°C

DD_18_01 – DD_18_12         January - December degree-days below 18°C

DD18_01 – DD18_12             January - December degree-days above 18°C

NFFD01 – NFFD12                January - December number of frost-free days

PAS01 – PAS12                     January – December precipitation as snow

Eref01 – Eref12          January – December Hargreaves reference evaporation

CMD01 – CMD12      January – December Hargreaves climatic moisture deficit

 


 

Forest types in Malaysia

Serial #

Class code

Forest type

1

1

Sarawak_Peat Swamp Forest

2

2

Sarawak_Mangrove Forest

3

3

Sarawak_Hill Dipterocarp Forest (350m-800m)

4

4

Sabah_Wildlife Reserve

5

5

Sabah_Virgin Jungle Reserve

6

6

Sabah_Mangrove Forest Reserve

7

7

Sabah_Domestic Forest Reserve

8

8

Sabah_Commercial Forest reserve

9

9

Sabah_Amenity Forest Reserve

10

10

Sabah_Protection Forest Reserve

11

11

PM_ Upper Hill Dipterocarp Forest (800m-1300m)

12

12

PM_Peat Swamp Forest

13

13

PM_ Montane Forest (>1300m)

14

14

PM_Mangrove Forest

15

15

PM_ Lower Dipterocarp Forest (150m-350m)

16

16

Sarawak_Montane Forest (>1300m)

17

21

Sabah_Virgin Jungle Reserve; 

Sabah_Commercial Forest reserve

18

25

Sabah_Commercial Forest reserve;

Sabah_Protection Forest Reserve

19

26

Sabah_Commercial Forest reserve; 

Sarawak_Montane Forest (>1300m)

20

27

PM_Peat Swamp Forest 

PM_ Lower Dipterocarp Forest (150m-350m)

21

28

PM_Mangrove Forest

PM_ Lower Dipterocarp Forest (150m-350m)

22

29

SarawakLower Dipterocarp Forest (150m-350m)            PM_Lower Dipterocarp Forest (150m-350m)

PM_*

23

30

SarawakInland Forest (<150m)           

PM_Inland Forest (<150m)

PM_Inland Forest (<150m)

24

32

Sarawak_Peat Swamp Forest

Sarawak_Inland Forest (<150m)           

PM_Inland Forest (<150m)PM_Inland*

25

33

SarawakMangrove ForestSarawakInland Forest (<150m)            PM_Inland Forest (<150m)PM_Inland Fo*

 

How to refer

 

Wang, T., G. Wang, J.L. Innes, B. Seely, B. Chen, 2017. ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific. Frontiers of Agricultural Science and Engineering.

 

 

Acknowledgements

Funding for this study was provided by the APFNet (www.apfnet.cn).