Regional Climate Model simulation dataset for North Eastern Australia for the years 2050-2090. Created with the CSIRO CCAM (Cubic Conformal Amostpheric Model 707) RCM (Regional Climate Model) by dynamically downscaling CSIRO Mk3 Global Climate Model output to 15 km resolution over a target area centred on 17S, 145E for the Marine and Tropical Science Research Facility (MTSRF) project. 40 years of Mk3 output was used as the host model (nested in MK3.0), with greenhouse emissions corresponding to scenario SRESA2. Daily and Monthly Atmospheric variables are available between Lat:-20N -10N(.1 deg res) & Lon:140E 150E(.1 deg res), at 5 levels (1000, 850, 700, 500, 300 hPa), 15Km resolution(C48 grid) & 18 vertical levels. There are 570 Daily files totalling 102.0GB, 480 Monthly_mean files totalling 3.44GB and 480 Raw cubic conformal model output files totaling 100.0GB with all being in netcdf format. This dataset formed the basis for a report for the MTSRF [Dynamically downscaled Mk3.0 climate projection for the Marine and Tropical Sciences Research Facility (MTSRF) from 2060-2090 Marcus Thatcher and John McGregor 28 February 2008] on climate projection over the tropical rainforest region of northern Queensland (assuming an A2 emission scenario IPCC, 2007), and its effects on max/min temperature and precipitation during the four seasons. Available for internal use and analysis by CSIRO staff on the HPSC cherax.

Regional Climate Model dataset for North Eastern Australia for the years 1971-2000. Created with the CSIRO CCAM (Cubic Conformal Amostpheric Model) RCM (Regional Climate Model) by dynamically downscaling CSIRO Mk3 Global Climate Model output to 15 km resolution over a target area centred on 17S, 145E for the Marine and Tropical Science Research Facility (MTSRF) project. 30 years of Mk3 output was used as the host model (nested in MK3.0), with greenhouse emissions corresponding to 1971 to 2000(M20th). Daily and Monthly Atmospheric variables are available between Lat:-20N -10N(.1 deg res) & Lon:140E 150E(.1 deg res), at 5 levels (1000, 850, 700, 500, 300 hPa), 15Km resolution(C48 grid), 18 vertical levels with . There are 386 Daily files totalling 76.6GB, 359 Monthly_mean files totalling 2.62GB and 359 Raw cubic conformal model output files totaling 75GB with all being in netcdf format. This dataset was also used to verify CCAM's effectiveness and accuracy in regional climate modeling through the comparison of the average simulated maximum temperature, minimum temperature and rainfall with the observed climatology made by the Australian Bureau of Meteorology (BoM) for the months of January, April, July and October. Available for internal use and analysis by CSIRO staff on the HPSC cherax.

Modeled wave time series from a downscaled wave data base (DWDB) are presented for the period 2020 to 2050, for locations from the U.S. Canada border to the southern boundary of Norton Sound along the approximate 5 and 10 m isobaths. The model boundary conditions were determined from wave time-series computed with a global WAVEWATCHIII (WWIII) model (Erikson and others,2024) and wind conditions, forced with models from the Coupled Model Intercomparison Project (CMIP6) future period. Wave data are provided for four CMIP6 models (see Process Description for details) from the HighResMIP project. Outputs include three-hourly nearshore significant wave heights (Hs), mean wave periods (Tm01) and mean wave directions (Dm) for 8485 (5 m isobath) and 8232 (10 m isobath) locations. Data are available as netCDF files and are packaged for the Beaufort Sea region from the U.S. Canada border to Nuwuk (Point Barrow), for the Chukchi Sea region from Nuwuk to Kotzebue Sound and from Kotzebue Sound to the Bering Strait, and from the Bering Strait to Norton Sound. The methods used to create this dataset are described in detail in Engelstad and others, 2024.

Modeled wave time series from a downscaled wave data base (DWDB) are presented for the period 2020 to 2050, for locations from the U.S. Canada border to the southern boundary of Norton Sound along the approximate 5 and 10 m isobaths. The model boundary conditions were determined from wave time-series computed with a global WAVEWATCHIII (WWIII) model (Erikson and others,2024) and wind conditions, forced with models from the Coupled Model Intercomparison Project (CMIP6) future period. Wave data are provided for four CMIP6 models (see Process Description for details) from the HighResMIP project. Outputs include three-hourly nearshore significant wave heights (Hs), mean wave periods (Tm01) and mean wave directions (Dm) for 8485 (5 m isobath) and 8232 (10 m isobath) locations. Data are available as netCDF files and are packaged for the Beaufort Sea region from the U.S. Canada border to Nuwuk (Point Barrow), for the Chukchi Sea region from Nuwuk to Kotzebue Sound and from Kotzebue Sound to the Bering Strait, and from the Bering Strait to Norton Sound. The methods used to create this dataset are described in detail in Engelstad and others, 2024.

Modeled wave time series from a downscaled wave data base (DWDB) are presented for the period 1979 to 2014, for locations from the U.S. Canada border to the southern boundary of Norton Sound along the approximate 5 and 10 m isobaths. The model boundary conditions were determined from wave time-series computed with a global WAVEWATCHIII (WWIII) model (Erikson and others, 2024) and wind conditions, forced with models from the Coupled Model Intercomparison Project (CMIP6) historical period. Wave data are provided for four CMIP6 models (see Process Description for details) from the HighResMIP project. Outputs include three-hourly nearshore significant wave heights (Hs), mean wave periods (Tm01) and mean wave directions (Dm) for 8485 (5 m isobath) and 8232 (10 m isobath) locations. Data are available as netCDF files and are packaged for the Beaufort Sea region from the U.S. Canada border to Nuwuk (Point Barrow), for the Chukchi Sea region from Nuwuk to Kotzebue Sound and from Kotzebue Sound to the Bering Strait, and from the Bering Strait to Norton Sound. The methods used to create this dataset are described in detail in Engelstad and others, 2024.

캐나다 기상센터(CMC)에서 제공하는 CMC SST(0.1)를 이용하여 과거 30년 동안의 평균 해수면 온도 대비 데이터 제공 일자의 해수면 온도와의 편차를 계산, 이를 90% Percentile에 적용한 결과와 등급 및 해수면 온도를 제시, 북서태평양 해역 대상

캐나다 기상센터(CMC)에서 제공하는 CMC SST(0.1)를 이용하여 과거 30년 동안의 평균 해수면 온도 대비 데이터 제공 일자의 해수면 온도와의 편차를 계산, 이를 90% Percentile에 적용한 결과와 등급 및 해수면 온도를 제시, 북서태평양 해역 대상

Projected current and future distributions of Abies amabilis (Pacific silver fir), Abies grandis (Grand fir), Abies procera (Noble fir), Acer macophylla (Big leaf maple), Larix lyallii (Subalpine larch), Larix occidentalis (Western larch), Pinus albicaulis (Whitebark pine), Quercus garryana (Garry oak), Taxus brevifolia (Pacific yew), Thuja plicata (Western red cedar) based on empirical bioclimatic models. Tree distributions models were built using 42 climate and bioclimatic variables from Climate Western North America climate dataset (www.climatevulnerability.org). I used random forest to project USGS range maps (http://esp.cr.usgs.gov/data/little/) for historical (1961-1990) and five general circulation models (GCMs) for the SRES A2 emissions scenario. GCMs included: BCCR BCM2.0 (2070-2099), CCCMA CGCM3 (2070-2099), CSIRO MK 3.0 (2070-2099), INMCM 3.0 (2070-2099), and MIROC3.2 MEDRES (2070-2099).

Projected current and future distributions of Abies amabilis (Pacific silver fir), Abies grandis (Grand fir), Abies procera (Noble fir), Acer macophylla (Big leaf maple), Larix lyallii (Subalpine larch), Larix occidentalis (Western larch), Pinus albicaulis (Whitebark pine), Quercus garryana (Garry oak), Taxus brevifolia (Pacific yew), Thuja plicata (Western red cedar) based on empirical bioclimatic models. Tree distributions models were built using 42 climate and bioclimatic variables from Climate Western North America climate dataset (www.climatevulnerability.org). I used random forest to project USGS range maps (http://esp.cr.usgs.gov/data/little/) for historical (1961-1990) and five general circulation models (GCMs) for the SRES A2 emissions scenario. GCMs included: BCCR BCM2.0 (2070-2099), CCCMA CGCM3 (2070-2099), CSIRO MK 3.0 (2070-2099), INMCM 3.0 (2070-2099), and MIROC3.2 MEDRES (2070-2099).