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ClimateMyanmar

 

Tongli Wang

Faculty of Forestry, University of British Columbia

 

 

November 09, 2017

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Contents

About this program.. 1

Climate variables. 1

Forest types in Myanmar 3

How to refer 3

Acknowledgements. 4

 

 

About this program

 

ClimateMyanmar 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 Myanmar.

 

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 0C, chilling degree-days

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

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

DD>18 (DD18) degree-days above 18C, 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 0C

DD5_01 DD5_12 January - December degree-days above 5C

DD_18_01 DD_18_12 January - December degree-days below 18C

DD18_01 DD18_12 January - December degree-days above 18C

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 Myanmar

Serial number

Class code

Forest type

1

1

Water

2

2

Broadleaf Forest (closed)

3

3

Broadleaf Forest (opened)

4

4

Bamboo

5

5

Scrub

6

6

Shifting Cultivation

7

7

Crop Land

8

8

Alluvial Land

9

9

Urban_Build up

10

10

Grass

11

11

Road

12

12

Sand

13

13

Wetland (Mangrove Forest)

14

14

Dry Forest

15

15

Floating Garden

16

16

Clouds/Cloud shadows

17

17

Snow

18

18

Wetland(Fresh Water Swamp)

19

21

Needleleaf Forest(closed)

20

22

Mixed Forest (closed)

21

23

Broadleaf Forest (closed)

22

31

Needleleaf Forest(opened)

23

32

Mixed Forest (opened)

24

33

Broadleaf Forest (opened)

 

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).