Closed HankHerr-NOAA closed 1 month ago
Full size declaration:
label: RFC_AHPS_Flow_90day_CSV
observed:
label: USGS NWIS Streamflow Observations
sources:
uri: https://nwis.waterservices.usgs.gov/nwis/iv
interface: usgs nwis
variable: "00060"
type: observations
predicted:
label: RFC_AHPS_Flow_90day_CSV
sources:
uri: http://[WRDS]/api/rfc_forecast/v2.0/forecast/streamflow
interface: wrds ahps
variable: QR
type: single valued forecasts
feature_service:
uri: https://[WRDS]/api/location/v3.0/metadata
group: rfc
value: nwrfc
unit: ft3/s
reference_dates:
minimum: 2023-06-26T00:00:00Z
maximum: 2024-06-26T00:00:00Z
valid_dates:
minimum: 2023-06-26T00:00:00Z
maximum: 2024-06-26T00:00:00Z
lead_times:
minimum: 0
maximum: 240
unit: hours
lead_time_pools:
period: 6
frequency: 6
unit: hours
sampling_uncertainty:
sample_size: 1000
quantiles: [0.05,0.5,0.95]
metrics:
- volumetric efficiency
- mean absolute error
- mean error
- coefficient of determination
- root mean square error
- mean square error
- bias fraction
- sample size
- root mean square error normalized
- mean square error skill score normalized
output_formats:
- csv2
- png
I found the problematic feature. This declaration below reproduces the exception. I've attached the RFC forecast data:
GitHub323_SRPW1_rfc_forecast_data.json.gz
Hank
==========
label: RFC_AHPS_Flow_90day_CSV
observed:
label: USGS NWIS Streamflow Observations
sources:
uri: https://nwis.waterservices.usgs.gov/nwis/iv
interface: usgs nwis
variable: "00060"
type: observations
predicted:
label: RFC_AHPS_Flow_90day_CSV
sources:
uri: http://[WRDS]/api/rfc_forecast/v2.0/forecast/streamflow
interface: wrds ahps
variable: QR
type: single valued forecasts
features:
- {observed: '12061500', predicted: 'SRPW1'}
feature_service:
uri: https://[WRDS]/api/location/v3.0/metadata
# group: rfc
# value: nwrfc
unit: ft3/s
reference_dates:
minimum: 2023-06-26T00:00:00Z
maximum: 2024-06-26T00:00:00Z
valid_dates:
minimum: 2023-06-26T00:00:00Z
maximum: 2024-06-26T00:00:00Z
lead_times:
minimum: 0
maximum: 240
unit: hours
lead_time_pools:
period: 6
frequency: 6
unit: hours
sampling_uncertainty:
sample_size: 1000
quantiles: [0.05,0.5,0.95]
metrics:
- volumetric efficiency
- mean absolute error
- mean error
- coefficient of determination
- root mean square error
- mean square error
- bias fraction
- sample size
- root mean square error normalized
- mean square error skill score normalized
output_formats:
- csv2
- png
Looking at this one.
Will attempt to reproduce and then estimate.
Same issue, different manifestation, but this was also fixed with the most recent commit for #318.
Closed, pending UAT.
UAT of the above job passes in 7774567139419290328
The exception is below. The declaration will be in the first comment. I'm going to try to reproduce the error using a smaller evaluation.
Hank
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