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ClimateNA Map Version
Centre for Forest Conservation Genetics
(CFCG)
Department of Forest Science, University
of British Columbia
May 08, 2022
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Contents
ClimateNA_Map
is a Google Maps based version of ClimateNA v7.30. Users can simply click on
the map to get climate data for the locations of your interest. The program extracts and downscales 1961-1990 monthly climate normal data from a
moderate spatial resolution (4 x 4 km) to scale-free point locations, and
calculates many (>200) monthly, seasonal and annual climate variables for
specific locations based on latitude, longitude and
elevation. The downscaling is achieved
through a combination of bilinear interpolation and dynamic local elevational
adjustment. ClimateNA also uses the scale-free data as baseline to downscale historical and future climate variables for
individual years and periods between 1901 and 2100. For predictions of multiple
locations and for more GCMs, we recommend
you to download the standalone version at http://climatena.ca/.
1. Obtain climate data by clicking on
the map. The values of latitude, longitude and
elevation are generated by Google Maps
geo-positioning system and Google Elevation Service. Alternatively, latitude,
longitude and elevation can also be input
manually.
2. Changed periods (historical and
future) using the dropdown menus.
3. Visualize spatial climate layers
overlaid over Google Maps.
4. Save
outputs for multiple locations/periods to a file on your local computer.
The monthly baseline data for 1961-1990 normals were
compiled from the following sources and unified at 4 x 4 km spatial resolution:
1. British Columbia: PRISM at 800
x 800 m from Pacific Climate Impact Consortium;
2. Parries provinces: PRISM at 4
x 4 km from the PRISM Climate Group (http://www.prism.oregonstate.edu/);
3. United States: PRISM at 800 x
800 m from the PRISM Climate Group (Daly et al. 2008);
4. The rest: ANUSPLIN at 4 x 4 km
5. The monthly solar radiation data were provided by Dr. Robbie Hember
at University of British Columbia.
Historical monthly data for the years 1901- 2020 were gerated on our own. Reference is not
available yet.
Future climate projections were selected from the
General Circulation Models (GCMs) of the Coupled Model Intercomparison Project
(CMIP6) to be included in IPCC sixth assessment report (AR6). The new set of
emissions scenarios from CMIP6, called “Shared Socioeconomic Pathways” (SSPs),
included SSP126, SSP245, SSP460, SSP370 and SSP585. We included the ensembles
among the 13 GCMs.
Directly
calculated annual 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 May
to September precipitation (mm),
AHM
annual heat-moisture index
(MAT+10)/(MAP/1000))
SHM summer
heat-moisture index ((MWMT)/(MSP/1000))
Derived annual
variables:
DD<0 degree-days below 0°C, chilling degree-days
DD>5 degree-days above 5°C, growing degree-days
DD<18 degree-days below 18°C, heating degree-days
DD>18 degree-days above 18°C, cooling degree-days
NFFD the
number of frost-free days
FFP frost-free
period
bFFP the
day of the year on which FFP begins
eFFP the
day of the year on which FFP ends
PAS precipitation as snow (mm)
between August in previous year and July in current year
EMT extreme
minimum temperature over 30 years
EXT extreme
maximum temperature over 30 years
Eref Hargreaves
reference evaporation (mm)
CMD Hargreaves
climatic moisture deficit (mm)
MAR mean
annual solar radiation (MJ m‐2 d‐1)
RH mean
annual relative humidity (%)
CMI Hogg’s
climate moisture index (mm)
DD1040 (10<DD<40) degree-days
above 10°C and below 40°C
Seasons:
Winter (_wt): Dec. (prev. yr) - Feb for annual, Jan, Feb, Dec for
normals
Spring (_sp): March, April and May
Summer (_sm): June, July and August
Autumn (_at): September, October and
November
Directly
calculated seasonal variables:
Tave_wt winter mean temperature (°C)
Tave_sp spring mean temperature (°C)
Tave_sm summer mean temperature (°C)
Tave_at autumn mean temperature (°C)
Tmax_wt winter mean maximum temperature (°C)
Tmax_sp spring mean maximum temperature (°C)
Tmax_sm summer mean maximum temperature (°C)
Tmax_at autumn mean maximum temperature (°C)
Tmin_wt winter mean minimum temperature (°C)
Tmin_sp spring mean minimum temperature (°C)
Tmin_sm summer mean minimum temperature (°C)
Tmin_at autumn mean minimum temperature (°C)
PPT_wt winter precipitation (mm)
PPT_sp spring precipitation (mm)
PPT_sm summer precipitation (mm)
PPT_at autumn precipitation (mm)
RAD_wt winter solar radiation (MJ m‐2 d‐1)
RAD_sp spring solar radiation (MJ m‐2 d‐1)
RAD_sm summer solar radiation (MJ m‐2 d‐1)
RAD_at autumn solar radiation (MJ m‐2 d‐1)
Derived
seasonal variables:
DD_0_wt winter degree-days below 0°C
DD_0_sp spring degree-days below 0°C
DD_0_sm summer degree-days below 0°C
DD_0_at autumn degree-days below 0°C
DD5_wt winter degree-days below 5°C
DD5_sp spring degree-days above 5°C
DD5_sm summer degree-days above 5°C
DD5_at autumn degree-days above 5°C
DD_18_wt winter degree-days below 18°C
DD_18_sp spring degree-days below 18°C
DD_18_sm summer degree-days below 18°C
DD_18_at autumn degree-days below 18°C
DD18_wt winter degree-days below 18°C
DD18_sp spring degree-days above 18°C
DD18_sm summer degree-days above 18°C
DD18_at autumn degree-days above 18°C
NFFD_wt winter number of frost-free days
NFFD_sp spring number of frost-free days
NFFD_sm summer number of frost-free days
NFFD_at autumn number of frost-free days
PAS_wt winter precipitation as snow (mm)
PAS_sp spring precipitation as snow (mm)
PAS_sm summer precipitation as snow (mm)
PAS_at autumn precipitation as snow (mm)
Eref_wt winter Hargreaves reference evaporation (mm)
Eref_sp spring Hargreaves reference evaporation (mm)
Eref_sm summer Hargreaves reference evaporation (mm)
Eref_at autumn Hargreaves reference evaporation (mm)
CMD_wt winter Hargreaves climatic moisture deficit (mm)
CMD_sp spring Hargreaves climatic moisture deficit (mm)
CMD_sm summer Hargreaves climatic moisture deficit (mm)
CMD_at autumn Hargreaves climatic moisture deficit (mm)
RH_wt winter relative humidity (%)
RH_sp winter relative humidity (%)
RH_sm winter relative humidity (%)
RH_at winter relative humidity (%)
CMI_wt winter
Hogg’s climate moisture index (mm)
CMI_sp spring
Hogg’s climate moisture index (mm)
CMI_sm summer
Hogg’s climate moisture index (mm)
CMI_at autumn
Hogg’s climate moisture index (mm)
Primary monthly
variables:
Tave01 – Tave12 January - December mean temperatures (°C)
TMX01 – TMX12 January - December maximum mean
temperatures (°C)
TMN01 – TMN12 January - December minimum mean
temperatures (°C)
PPT01 – PPT12 January
- December precipitation (mm)
RAD01 – RAD12 January
- December solar radiation (MJ m‐2 d‐1)
Derived monthly
variables:
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 (mm)
Eref01 – Eref12 January – December Hargreaves reference
evaporation (mm)
CMD01 – CMD12 January – December Hargreaves climatic
moisture deficit (mm)
RH01 – RH12 January – December relative humidity (%)
CMI01 – CMI12 January
– December Hogg’s climate moisture index (mm)
Wang T, Hamann A, Spittlehouse D,
Carroll C, 2016. Locally Downscaled and Spatially Customizable Climate Data for
Historical and Future Periods for North America. PLoS ONE 11(6): e0156720.
doi:10.1371/journal.pone.0156720
Mahony CR, Wang T; Hamann A and Cannon
AJ, 2021. A CMIP6 ensemble for downscaled monthly climate normals over North
America. EarthArXiv. https://doi.org/10.31223/X5CK6Z
Funding for this
study was provided by the Forest Genetic Council of BC (FGC) and Ministry of
Forests, Lands and Natural Resource Operations.