WSIM-GLDAS
-WSIM-GLDAS is an open source dataset that characterizes surpluses and deficits of freshwater and the parameters determining these anomalies.
+Water Resource Narrative
+These include introducing the domain knowledge and human narrative that can be derived from these datasets.
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- Freely available on SEDAC +
- Understanding the socioeconomic and environmental impacts of droughts and floods. +
- Exploring drought and flooding events in areas of interest to you and learning about the impacts to local water supplies, agriculture, recreation, and tourism. +
- Basic background on the water cycle. +
Technical Data Narrative
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- What does water resource data “look” like? +
- Where do you find it and how do you get it? +
Coding Narrative
+Are we interested at all in teaching people how to code? Unlikely but then how do you address all the code.
+# generate a vector of dates for subsetting
+keeps<-seq(lubridate::ymd("2000-01-01"),
+ lubridate::ymd("2014-12-01"),
+ by = "month")
+
+# filter using that vector
+wsim_gldas_anoms <- dplyr::filter(wsim_gldas_anoms, time %in% keeps)
+
+# verify the time dimension was properly subsetted
+print(wsim_gldas_anoms)
+
+# do a visual check with the first 6 time-steps
+wsim_gldas_anoms |>
+ dplyr::slice(index = 1:6, along = "time") |>
+ plot(key.pos = 1)Outputs and Analyses
+Whatever the chosen narrative voice and content, we hope to bring greater understanding for each module through visualizations and analysis. The WSIM-GLDAS water resource modules will achieve this by creating:
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- National and regional 12 month integration composite surplus/deficit maps +
- Time series illustrations of point locations +
- Population exposure time series figures and tables +
Composite Surplus and Deficit Maps
+Twelve month integration maps illustrate the observed drought or flooding of an area relative to a long term baseline period.
+ +Location of Interest
+Point location time series figures illustrate long term trends for a single location on a month to month basis.
+ +Population Exposure
+Population exposure plots and tables help illustrate the sociological impacts of droughts and floods.
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