[Bldg-sim] Climate change-modified simulation weather files

[Joe Huang]

Hazem,

A colleague and I have been developing Future Year weather files for the past four years 
using a hybrid method that does frequency analysis of future year weather time series out 
to 2100 from dozens of Regional Climate Models,  and combines that with historical weather 
data to produce future year weather files for any location for which there are historical 
data.  Such a method differs from the "morphing" technique that has been more commonly 
used whereby the monthly averages and daily range from a historical weather file are 
adjusted according to what the models say. To summarize the difference between the two 
methods, "morphing" assumes the climate patterns don't change but just get shifted, while 
the hybrid method tries to replicate the future climate patterns and downscale them to a 
specific location using the historical data.

So far, we've generated future year weather files for over 120 locations around the world 
(see attached list), and have plans to increase that to 200 locations before uploading 
them to the White Box Technologies web site to complement the  5,000+  "typical year" and 
160,000+ historical year weather files that are already there.  Furthermore, since our 
procedure has been largely automated, future year weather files could be generated within 
a day or two for any place with over 5 years of historical data,  or roughly 10,000 other 
locations.

If you have any questions, feel free to contact me via e-mail or post it on BLDG-SIM if 
you think it's of general interest.

Joe

Joe Huang
White Box Technologies, Inc.
346 Rheem Blvd., Suite 205A
Moraga CA 94556
yjhuang at whiteboxtechnologies.com
http://weather.whiteboxtechnologies.com for simulation-ready weather data
(o) (925)388-0265
(c) (510)928-2683
"building energy simulations at your fingertips"

On 2/6/2021 1:19 PM, Hazem Rashed-Ali via Bldg-sim wrote:
>
> Dear all,
>
> I am looking for good sources for simulation weather files that reflect future climate 
> change scenarios, or of tools that can be used to modify TMY files to reflect these 
> scenarios.
>
> Thanks a lot in advance for your suggestions.
>
> Best,
>
> Hazem
>
> /==========================/
>
> /Hazem Rashed-Ali, Ph.D., LEED AP
> Associate Professor, Department of Architecture
> The University of Texas at San Antonio/
>
> /Past President, Architectural Research Centers Consortium (ARCC)
> Phone: 210-458-3088
> Fax: 210-458-3091/
>
>
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US and Canada locations
AK_ANCHORAGE-IAP_702730
AZ_TUCSON-IAP_722740S
BC_VANCOUVER-IAP_718920S
MI_DETROIT-CITY-AP_725375S
MO_KANSAS-CITY-IAP_724460S
NC_CHARLOTTE-DOUGLAS-IAP_723140S
ON_OTTAWA-INTL-ONT_716280S
ON_TORONTO-PEARSON-IAP_716240S
QC_MONTREAL-TRUDEAU-IAP_716270S
QC_VAL-D-OR-AP_717250S
VA_WASHINGTON-DC-REAGAN-AP_724050S
Other locations:
ARE_ABU-DHABI-IAP_412170S
ARE_DUBAI-IAP_411940S
ARG_AEROPARQUE-BS-AS_875820S
ARG_MAR-DEL-PLATA-AERO_876920S
AUS_CAIRNS-AERO_942870S
AUS_MELBOURNE-AP_948660S
AUS_MOUNT-ISA-AERO_943320S
BFA_OUAGADOUGOU_655030S
BRA_BELEM(AP)_821930S
BRA_BELO-HORIZONTE(CON)_835660S
BRA_BRASILIA(AP)_833780S
BRA_CURITIBA(AP)_838400S
BRA_MANAUS(AP)_823320S
BRA_PORTO-ALEGRE(AP)_839710S
CHN_CHANGSHA_576870
CHN_CHENGDU_562940
CHN_KUNMING_567780
CHN_NANNING_594310
CHN_WUHAN_574940
CHN_ZHENGZHOU_570830
CMR_DOUALA-OBS_649100S
COL_BOGOTA-ELDORADO_802220S
DOM_SANTO-DOMINGO_784860S
DZA_BISKRA_605250S
EGY_CAIRO-AP_623660S
ESP_BILBAO-SONDICA_080250S
ESP_MALAGA-AP_084820S
ETH_ADDIS-ABABA-BOLE_634500S
FIN_HELSINKI-VANTAA_029740S
FRA_PARIS-ORLY_071490S
GAB_LIBREVILLE_645000S
GBR_LONDON-HEATHROW-AP_037720S
GRC_ATHINAI(AP)_167160S
GUY_GEORGETOWN_810020S
HKG_HONG-KONG-IAP_450070
IDN_JAKARTA-SOEKARNO-HA_967490
IDN_PADANG-TABING_961630
IDN_SURABAYA-JUANDA_969350
IND_AHMADABAD_426470S
IND_BANGALORE_432950S
IND_COCHIN-WILLINGDON_433530S
IND_GWALIOR_423610S
IND_JODHPUR_423390S
IND_KOLKATA-CALCUTTA-DUM-DUM_428090S
IND_LUCKNOW-AMAUSI_423690S
IND_MUMBAI-BOMBAY-SANTACRUZ_430030S
IND_SRINAGAR_420270S
IRN_KERMANSHAH_407660S
ITA_MILANO-LINATE_160800S
ITA_ROMA-FIUMICINO_162420S
KAZ_AKTOBE_352290
KAZ_ALMATY_368700-368720
KAZ_ASTANA_351880
KAZ_ATYRAU_381411S
KAZ_KARAGANDA_353940
KAZ_KAZALINSK_358490
KAZ_KOKSHETAY_288790
KAZ_PAVLODAR_360030
KAZ_SEMIPALATINSK_361770
KAZ_SHYMKENT_383280
KAZ_TURKESTAN_381980
KAZ_URALSK_351080S
KAZ_ZHAMBYL_383410
KEN_NAIROBI-KENYATTA-AP_637400S
LBY_TRIPOLI-IAP_620100S
LTU_VILNIUS_267300S
MAR_CASABLANCA_601550S
MAR_MARRAKECH_602300S
MDG_ANTANANARIVO-IVATO_670830S
MEX_DON-MIGUEL-Y-HIDALG_766133S
MEX_MEXICO-CITY-B-JUAREZ_766793S
MEX_MONTERREY-IAP_763940S
MEX_TOLUCA-LA-LOPEZ-AP_766753S
MLI_BAMAKO-SENOU_612910S
MMR_TAUNGGYI_480570S
MMR_YANGON_480970S
MOZ_MAPUTO-MAVALANE_673410S
MRT_NOUAKCHOTT_614420S
MYS_KUALA-LUMPUR-SUBANG_486470
MYS_MALACCA_486650
NAM_WINDHOEK_681100S
NOR_TROMSO_010260
NPL_KATHMANDU-AP_444540S
PAK_FAISAL-ABAD_416300S
PAK_ISLAMABAD-AP_415710S
PAK_LAHORE-AP_416410S
PER_CUZCO_846860S
PER_IQUITOS_843770S
PHL_DAVAO-AP_987530
PRT_LISBOA-PORTELA_085360S
RUS_ARHANGELSK_225500
RUS_BRATSK_303090
RUS_MOSKVA_276120S
RUS_ST-PETERSBURG_260630S
RUS_SURGUT_238490
SAU_AL-MADINAH_404300S
SAU_MAKKAH_410300S
SEN_DAKAR-YOFF_616410S
SGP_SINGAPORE-CHANGI-AP_486980
SWE_STOCKHOLM-ARLANDA_024600S
SWE_UMEA_022860S
TCD_NDJAMENA_647000S
THA_BANGKOK_484550
THA_PHUKET_485640
TUR_ANTALYA_173000S
TUR_GAZIANTEP_172600S
TUR_ISTANBUL-ATATURK_170600S
TUR_ZONGULDAK_170220S
TZA_DAR-ES-SALAAM-AP_638940S
UKR_KYIV_333450S
VEN_GUANARE_804280S
VNM_HA-NOI_488200
ZAF_JOHANNESBURG-IAP_683680S
ZAF_PORT-ELIZABETH_688420S
ZWE_HARARE(KUTSAGA)_677750S