wengel 2018-10-31 13:14:01

Really learned a lot from this module, very informative and presented at a reasonable yet intriguing pace.

neddyprime 2017-07-26 12:25:39

If you're using BCSD data, you should seek to understand the content in this course.

jimenezgdavid 2017-06-21 07:34:33

The information is well presented and was very succinct; although, given my engineering background It would have been nice to complete maybe a simple numerical exercise to further understand the actual procedures.

khyatt 2017-06-19 15:00:00

The short length in each lesson is critical in an online application. I was able to complete the course while doing a few other work related items .

GlenCC 2017-06-18 19:28:39

Very good lessons and very intuitive lesson display!

MCORRALES 2017-06-17 18:22:15

it is great tool for develop important subjects related the climate change (in my case) and several subjects for learning. I recomend this web program for use, do test, and learn a lot.

bluoma 2017-06-12 11:27:10

This was a great tool to gain background knowledge on the methods of water resource planning as well as preparing a lab experiment with hydro-climate aspects. The presentation of the material was dry at times which made the lesson less effective. The material seems to be thoroughly covered and well made.

Gindon 2016-09-11 20:34:52

****

JFaustini 2014-08-06 18:47:00

Outstanding introduction to climate modeling, particular for professionals who need to use and be able to interpret climate model outputs in their work. Provides a solid foundation of knowledge about the steps and assumptions that go into generating bias-corrected downscaled (BCDS) climate model projections, how to formulate/select climate change scenarios for use in climate impacts assessment, and limitations you need to be aware of when applying/interpreting BCDS outputs.

lbg 2012-11-09 10:06:59

a very good intro in climate modelling even for laymen who want to know how those experts get their opinions about climate change etc..

1. Determine weather and climate processes that are relevant to the client’s long-term questions about surface hydrology or crop irrigation requirements.
2. Explain climate change process and recognize terminology
1. Distinguish between weather and climate
2. Distinguish between natural climate variability and climate change
3. Explain emissions scenario versus climate change scenarios
4. Justify use of climate projection information in study
3. Identify and explain issues associated with model resolution and regionalizing, especially with respect to downscaling and bias correction.
4. Locate relevant climate projection information and model data (that may or may not have been downscaled and bias-corrected)
1. Explain what BCSD data are.
5. Evaluate the utility of projection information in portraying the relevant processes; defend the approach taken for downscaling and bias correction
1. Differentiate between dynamic and statistical downscaling
2. Explain possible limitations of bias correction procedure using bias correction factors derived in historical period
6. Make big-picture decisions on how climate projections will be incorporated into the report
1. Identify relevant climate periods (historical  and future periods)
2. Identify sources of uncertainty in the data
7. Assess the central tendency and spread of projected changes in precipitation and temperature over the region of interest
1. Choose appropriate time steps for characterizing general climate trends as manifested by precipitation and temperature.
2. Evaluate central tendency of temperature and precipitation trends for all model projections taken together.
3. Choose the period change method.
4. Determine how you will define spread.
8. Determine climate change scenarios and select projections to inform each climate change scenario
1. Explain advantages and disadvantages of defining climate change scenarios informed by single projections versus being informed by an ensemble of projections
9. Develop monthly climate-adjusted weather inputs for future surface water hydrology analysis (or crop irrigation requirements) that reflect an appropriate blend of historical observations with simulated trends.
1. Recognize attributes of the observed weather inputs used to develop the climate adjusted weather inputs.
2. Prepare scenarios of future weather inputs corresponding to climate change scenarios, that reflect variability from the observed weather and trends from climate simulations.
3. Prepare results using both the Delta (single projection informed) and ensemble informed Delta methods.
10. Disaggregate monthly climate-adjusted weather inputs into daily climate-adjusted weather inputs.

Hydro-climate, Hydro-climate inputs, Climate model, climate projection, climatology, emissions scenario,climate change scenario, climate variability, climate change, water resources planning, climate change impacts, surface water hydrology, crop irrigation requirements, initial value, boundary value, anthropogenic, global climate model, International Panel on Climate Change, IPCC, Assessment Report 4, IPCC AR4, IPCC Assessment Report 5, AR5, IPCC emissions scenario, GCM, AOGCM, coupled atmosphere-ocean general circulation model, general circulation models, global circulation model, global climate model, Special Report on Emissions Scenarios, SRES, RCP, Representative Concentration Pathways, bias correction, bias adjustment, spatial downscaling, statistical downscaling, dynamic downscaling, Bias Correction and Spatial Downscaling Method, BCSD, climate projection ensembles, projection ensembles, CDF, cumulative distribution function, regional climate model, RCM, wet bias, dry bias, time series, ensemble time series, detrending, SYMAP method, Central Tendency, Spread, Simulation Mean, Period Change, period change method, temperature time series, precipitation time series, single projection, ensemble of projections, transient method, historical period, future period, climate simulations, historical simulation, climate study, time series trends, climate impact model, climate impacts model, climate-adjusted weather, climate-adjusted weather inputs, daily climate weather, as if approach, monthly climate weather, delta method, ensemble informed delta method, change factor, daily climate

Part 1 of this 5-part lesson was revised slightly in 2016 to acknowledge the latest information associated with IPCC Assessment Report 5, AR5. The methodologies demonstrated in parts 2-4 are still based on the IPCC AR4 report which used the Coupled Model Intercomparison Project 3 (CMIP3) models. One can use the CMIP5 models associated with IPCC AR5 (2014) and apply the same methodologies described in this lesson.