Joint ECMWF–CEMS–C3S–HEPEX–GFP workshop 2021 questionnaire
Every workshop participant is receiving this short online questionnaire prior to the workshop, with questions about their practice and perspectives on hydrological modelling and forecasting. This questionnaire is anonymous and will only take 5 minutes of your time. All answers will be processed to make graphics that look at (dis)similarities between the participants’ answers. Louise Arnal (scientist and artist; postdoctoral fellow at the University of Saskatchewan) will create art pieces from these graphics, transforming clusters of answers into night sky constellations. Discussions with participants during the workshop will lead to the creation of storylines for each constellation. The entire artistic output will be a metaphor for reading our destiny in stars constellations, and how far we have advanced as a community in terms of predicting future hydro-meteorological events. The final digital art pieces will be displayed online after the workshop for all to see. Join Louise for a chat about modelling and forecasting during the workshop!
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Which keywords best describe your work? (3 to 5 keywords, comma separated) *
Which water sector(s)/application(s) do you focus on? (e.g., floods, droughts, hydropower) *
What spatial domain do you currently mostly work on? *
What timescale were/are you mostly working with? *
Short- to medium-range
Sub-seasonal to seasonal
Long-range (climate)
NA
At the start of your career
In the last 5 years
In your most recent work
At what lead time (in days) do you make decisions/provide information operationally? (optional)
For up to what lead time (in days) would you like to see/provide information operationally? (optional)
Which aspect do you put most of your focus on improving? *
Which data source(s) do you rely most on? (multiple options may be selected) *
Required
On a scale of 1 to 5, how do you value these components of the data products that you use/produce? *
1 (not important at all)
2
3
4
5 (very important)
NA
Trust in the data provider
Trust in the data source (data sources from previous question)
Reliability of the data
Local applicability of the information
Skill of the model/forecasts based on prior assessments (against a benchmark)
On a scale of 1 to 5, how important are those variables for your work? *
1 (not important at all)
2
3
4
5 (very important)
Streamflow/water level
Precipitation
Temperature
Snow
Soil moisture
Groundwater table
Water level in reservoirs
Evapotranspiration
Water extent (inundation)
On a scale of 1 to 5, how often do you use these statistical metrics? *
1 (very infrequently)
2
3
4
5 (very frequently)
Kling-Gupta Efficiency (KGE)
Continuous Ranked Probability Score (CRPS)
Interquantile Range (IQR)
Contingency table
ROC score
Nash-Sutcliffe Efficiency (NSE)
Relative Error, MAE or RMSE
Qualitative assessment/visual inspection
In a few words, what is for you the future of hydrometeorology? *
In few words, what do you think is needed to connect global with local hydrological modelling and forecasting? *
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