scholarly journals Applying Downscaled Global Climate Model Data to a Hydrodynamic Surface-Water and Groundwater Model

2014 ◽  
Vol 03 (01) ◽  
pp. 33-49 ◽  
Author(s):  
Eric Swain ◽  
Lydia Stefanova ◽  
Thomas Smith
Keyword(s):  
Surface Water ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Groundwater Model ◽  
Model Data ◽  
Surface Water And Groundwater

CMIP6 data documentation and citation in IPCC's Sixth Assessment Report (AR6)

2021 ◽  
Author(s):  
Martina Stockhause ◽  
Robin Matthews ◽  
Anna Pirani ◽  
Anne Marie Treguier ◽  
Ozge Yelekci
Keyword(s):  
Climate Change ◽  
Working Group ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Model Data ◽  
Intergovernmental Panel ◽  
Assessment Report ◽  
Data Usage ◽  
Group I

<p>The the amount of work and resources invested by the modelling centers to provide CMIP6 (Coupled Model Intercomparison Project Phase 6) experiments and climate projection datasets is huge, and therefore it is extremely important that the teams receive proper credit for their work. The Citation Service makes CMIP6 data citable with DOI references for the evolving CMIP6 model data published in the Earth System Grid Federation (ESGF). The Citation Service as a new piece of the CMIP6 infrastructure was developed upon the request from the CMIP Panel.</p><p>CMIP6 provides new global climate model data assessed in the IPCC's (Intergovernmental Panel on Climate Change) Sixth Assessment Report (AR6). Led by the Technical Support Unit of IPCC Working Group I (WGI TSU), the IPCC Task Group on Data Support for Climate Change Assessment (TG-Data) developed FAIR data guidelines, for implementation by the TSUs of the three IPCC WGs and the IPCC Data Distribution Centre (DDC) Partners. A central part of the FAIR data guidelines are the documentation and citation of data used in the report.</p><p>The contribution will show how CMIP6 data usage is documented in IPCC WGI AR6 from three angles: technical implementation, collection of CMIP6 data usage information from the IPCC authors, and a report users’ perspective.</p><p> </p><p>Links:</p><ul><li>CMIP6 Citation Service: http://cmip6cite.wdc-climate.de</li> <li>CMIP6: https://pcmdi.llnl.gov/CMIP6/</li> <li>IPCC AR6: https://www.ipcc.ch/assessment-report/ar6/</li> <li>IPCC AR6 WGI report: https://www.ipcc.ch/report/sixth-assessment-report-working-group-i/</li> <li>IPCC TG-Data: https://www.ipcc.ch/data/</li> </ul>

scholarly journals Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation

2015 ◽  
Vol 47 (3) ◽  
pp. 660-670 ◽  
Author(s):  
Alison C. Rudd ◽  
Alison L. Kay
Keyword(s):  
High Resolution ◽  
Boundary Conditions ◽  
Climate Models ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Hydrological Models ◽  
Potential Evaporation ◽  
Model Data ◽  
Very High

Climate model data are increasingly used to drive hydrological models, to assess the possible impacts of climate change on river flows. Hydrological models often require potential evaporation (PE) from vegetation, alongside precipitation, but PE is not usually output by climate models so has to be estimated from other meteorological variables. Here, the Penman–Monteith formula is applied to estimate PE using data from a 12 km Regional Climate Model (RCM) and a nested very high resolution (1.5 km) RCM covering southern Britain. PE estimates from RCM runs driven by reanalysis boundary conditions are compared to observation-based PE data, to assess performance. The comparison shows that both the 1.5 and 12 km RCMs reproduce observation-based PE well, on daily and monthly time-steps, and enables choices to be made about application of the formula using the available data. Data from Current and Future RCM runs driven by boundary conditions from a Global Climate Model are then used to investigate potential future changes in PE, and how certain factors affect those changes. In particular, the importance of including changes in canopy resistance is demonstrated. PE projections are also shown to vary to some extent according to how aerosols are modelled in the RCMs.

scholarly journals Precipitation Extremes in CMIP5 Simulations on Different Time Scales

2013 ◽  
Vol 14 (3) ◽  
pp. 923-928 ◽  
Author(s):  
Huan Zhang ◽  
Klaus Fraedrich ◽  
Richard Blender ◽  
Xiuhua Zhu
Keyword(s):  
Time Scales ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Scaling Law ◽  
Precipitation Extremes ◽  
Model Data ◽  
Climate Simulations ◽  
Order Of Magnitude ◽  
Short Time

Abstract Precipitation maxima in global climate model (GCM) simulations are compared with observations in terms of resolution dependence and climate change. The analysis shows the following results: (i) the observed scaling law relating precipitation maxima to duration is basically reproduced but exhibits resolution dependence, (ii) the intensity of precipitation extremes is up to one order of magnitude smaller in the model data, and (iii) the increase of precipitation maxima on short time scales in the warmer climate simulations [representative concentration pathway 8.5 (RCP8.5)] vanishes for monthly time scales.

scholarly journals Regionalization of the INM RAS global climate model data by the Polar WRF model in the Arctic

2020 ◽  
Vol 606 ◽  
pp. 012051
Author(s):  
K G Rubinstein ◽  
GA Zarochentsev ◽  
R Yu Ignatov ◽  
E M Volodin ◽  
N G Iakovlev ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Wrf Model ◽  
The Arctic ◽  
Model Data

scholarly journals Application of the HBV model for the future projections of water levels using dynamically downscaled global climate model data

2021 ◽  
Author(s):  
Lia Pervin ◽  
Thian Yew Gan ◽  
Hester Scheepers ◽  
Md Saiful Islam
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Water Levels ◽  
The Arctic ◽  
Model Data ◽  
The Future ◽  
Rcp 8.5 ◽  
Hbv Model ◽  
Mackenzie River

Abstract The Hydrologiska Byråns Vattenbalansavdelning (HBV) model was used to project the future water levels of the Mackenzie River at selected stations. The Weather Research and Forecasting (WRF) model was utilized to dynamically downscale the Global Climate Model data. The calibrated and validated HBV model was run with the WRF downscaled CanESM2 data and with the PCIC data for the historical (1979–2005) period, and then compared with the observed flow data at the Fort Simpson station and the Arctic Red River station. The simulated streamflow showed a good correlation with the observed streamflow (R2 value was around 0.85). The HBV model was then forced with the bias-corrected WRF downscaled daily rainfall and temperature data driven by the CanESM2 RCP 4.5 and RCP 8.5 climate scenarios to simulate the future streamflow for the 2041–2070 period. Rating curves were used to convert streamflow to water levels. At the Fort Simpson station, mean flow was projected to decrease by about 5% under both RCP 4.5 and RCP 8.5 scenarios, whereas the peak flow was likely to reduce by about 12 and 9% for RCP 4.5 and RCP 8.5 scenarios, respectively, in the 2050s. The projected lower water levels could affect the navigability and the northern ferry operations of the Mackenzie River.

scholarly journals Global changes, regional impacts : climate change in the Middle East

1999 ◽  
Vol 54 (3) ◽  
pp. 132-137 ◽  
Author(s):  
P. McNamara
Keyword(s):  
Climate Change ◽  
Middle East ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Political Conflict ◽  
Future Climate Change ◽  
Global Changes ◽  
Model Data ◽  
Comparison Results

Abstract. In the Middle East, an area where pressure on water resources is intensified by political conflict and natural scarcity, the possibility of future climate change looms as yet another compounding factor. An integrated approach, taking economic, social, political and climate factors into consideration, is embodied in the CLIMSOC model. Before using global model data for a future period as input into the regional scale CLIMSOC model, the global climate model data must first be tested for the present period. The work summarised here examines monthly preeipitation data from a Hadley Centre Global Climate Model, comparing it to an observed climatology, for the present period 1961–1990. The differences between the GCM and observed data are examined with an eye toward systematic discrepancies among the different months, spatial patterns and overall quantitative differences in preeipitation. Finally, a glimpse at future preeipitation, as estimated by the global climate model, is presented in the context of the comparison results.

High bit rate ACTS experiments for performing global science - Keck Telescope and global climate model

1996 ◽  
Author(s):  
Larry Bergman ◽  
J. Gary ◽  
Burt Edelson ◽  
Neil Helm ◽  
Judith Cohen ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Bit Rate ◽  
Global Science ◽  
High Bit Rate
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