Repository: climate Updated Branches: refs/heads/master d8278e241 -> 1a851ffd0
CLIMATE-826 ValueError in model_ensemble_to_rcmed.py Project: http://git-wip-us.apache.org/repos/asf/climate/repo Commit: http://git-wip-us.apache.org/repos/asf/climate/commit/bf1f04ed Tree: http://git-wip-us.apache.org/repos/asf/climate/tree/bf1f04ed Diff: http://git-wip-us.apache.org/repos/asf/climate/diff/bf1f04ed Branch: refs/heads/master Commit: bf1f04ed038d765018806e1cac23c2ae04759ab5 Parents: e8d8d42 Author: michaelarthuranderson <michael.arthur.ander...@gmail.com> Authored: Thu Jan 25 05:20:57 2018 -0500 Committer: michaelarthuranderson <michael.arthur.ander...@gmail.com> Committed: Thu Jan 25 05:20:57 2018 -0500 ---------------------------------------------------------------------- examples/model_ensemble_to_rcmed.py | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/climate/blob/bf1f04ed/examples/model_ensemble_to_rcmed.py ---------------------------------------------------------------------- diff --git a/examples/model_ensemble_to_rcmed.py b/examples/model_ensemble_to_rcmed.py index 185aa2e..787367b 100644 --- a/examples/model_ensemble_to_rcmed.py +++ b/examples/model_ensemble_to_rcmed.py @@ -130,14 +130,10 @@ print("Calculating the Maximum Overlap in Time for the datasets") cru_start = datetime.datetime.strptime(cru_31['start_date'], "%Y-%m-%d") cru_end = datetime.datetime.strptime(cru_31['end_date'], "%Y-%m-%d") -knmi_start, knmi_end = knmi_dataset.temporal_boundaries() # Set the Time Range to be the year 1989 start_time = datetime.datetime(1989, 1, 1) end_time = datetime.datetime(1989, 12, 1) -print("Time Range is: %s to %s" % (start_time.strftime("%Y-%m-%d"), - end_time.strftime("%Y-%m-%d"))) - print("Fetching data from RCMED...") cru31_dataset = rcmed.parameter_dataset(dataset_id, parameter_id, @@ -150,15 +146,29 @@ cru31_dataset = rcmed.parameter_dataset(dataset_id, """ Step 3: Resample Datasets so they are the same shape """ +# Running Temporal Rebin early helps negate the issue of datasets being on different +# days of the month (1st vs. 15th) print("Temporally Rebinning the Datasets to an Annual Timestep") # To run annual temporal Rebinning, knmi_dataset = dsp.temporal_rebin(knmi_dataset, temporal_resolution='annual') +dataset_start, dataset_end = knmi_dataset.temporal_boundaries() +start_time = max([start_time, dataset_start]) +end_time = min([end_time, dataset_end]) + wrf311_dataset = dsp.temporal_rebin( wrf311_dataset, temporal_resolution='annual') +dataset_start, dataset_end = wrf311_dataset.temporal_boundaries() +start_time = max([start_time, dataset_start]) +end_time = min([end_time, dataset_end]) + cru31_dataset = dsp.temporal_rebin(cru31_dataset, temporal_resolution='annual') +dataset_start, dataset_end = cru31_dataset.temporal_boundaries() +start_time = max([start_time, dataset_start]) +end_time = min([end_time, dataset_end]) + +print("Time Range is: %s to %s" % (start_time.strftime("%Y-%m-%d"), + end_time.strftime("%Y-%m-%d"))) -# Running Temporal Rebin early helps negate the issue of datasets being on different -# days of the month (1st vs. 15th) # Create a Bounds object to use for subsetting new_bounds = Bounds(lat_min=min_lat, lat_max=max_lat, lon_min=min_lon, lon_max=max_lon, start=start_time, end=end_time) @@ -214,7 +224,7 @@ print("Generating a contour map using ocw.plotter.draw_contour_map()") lats = new_lats lons = new_lons fname = OUTPUT_PLOT -gridshape = (3, 1) # Using a 3 x 1 since we have a 1 year of data for 3 models +gridshape = (3, start_time.year - end_time.year + 1) # Using a 3 x N since we have a N year(s) of data for 3 models plotnames = ["KNMI", "WRF311", "ENSEMBLE"] for i in np.arange(3): plot_title = "TASMAX Bias of CRU 3.1 vs. %s (%s - %s)" % (
