- Query hydrologic statistics for all models. Statistics are computed over - historical (1990–2021) and projected mid-century (2034–2065) eras. - These statistics are defined - below. -
+| Endpoint | -Example URL | +ID | +Description | +Units |
|---|---|---|---|---|
| Hydrologic statistics | -- /arctic_hydrology/stats/81000004 - | +wt_days_gt13_mean |
+ Mean annual count of days with stream temperature > 13°C | +days per year |
- CSV output is also available by appending ?format=csv to
- the URL.- The data source can be controlled with the ?source=
- parameter. Accepted values are:
-
?source=original_gcm&format=csv).
- |
+ wt_days_gt18_mean |
+ Mean annual count of days with stream temperature > 18°C | +days per year | +|
wt_days_gt20_mean |
+ Mean annual count of days with stream temperature > 20°C | +days per year | ||
- Query daily streamflow climatologies for all models. Useful for constructing - hydrographs. Minimum, maximum, and mean values for each day of year are - computed over historical (1990–2021) and projected mid-century - (2034–2065) eras. -
-| Endpoint | -Example URL | +wt_mean_jan |
+ Mean of monthly mean stream temperatures for January | +degrees Celsius |
|---|---|---|---|---|
| Modeled daily streamflow climatologies | +wt_mean_feb |
+ Mean of monthly mean stream temperatures for February | +degrees Celsius | +|
wt_mean_mar |
+ Mean of monthly mean stream temperatures for March | +degrees Celsius | +||
wt_mean_apr |
+ Mean of monthly mean stream temperatures for April | +degrees Celsius | +||
wt_mean_may |
+ Mean of monthly mean stream temperatures for May | +degrees Celsius | +||
wt_mean_jun |
+ Mean of monthly mean stream temperatures for June | +degrees Celsius | +||
wt_mean_jul |
+ Mean of monthly mean stream temperatures for July | +degrees Celsius | +||
wt_mean_aug |
+ Mean of monthly mean stream temperatures for August | +degrees Celsius | +||
wt_mean_sep |
+ Mean of monthly mean stream temperatures for September | +degrees Celsius | +||
wt_mean_oct |
+ Mean of monthly mean stream temperatures for October | +degrees Celsius | +||
wt_mean_nov |
+ Mean of monthly mean stream temperatures for November | +degrees Celsius | +||
wt_mean_dec |
+ Mean of monthly mean stream temperatures for December | +degrees Celsius | +||
wt_min_jan |
- /arctic_hydrology/modeled_climatology/81000004 + Minimum monthly mean stream temperature for January across all years in + era | +degrees Celsius | ||
- CSV output is also available by appending ?format=csv to
- the URL.- The data source can be controlled with the ?source=
- parameter. Accepted values are:
-
?source=original_gcm&format=csv).
+ | wt_min_feb |
+ + Minimum monthly mean stream temperature for February across all years in + era | +degrees Celsius | |
- Query water temperature statistics for all models. Statistics are computed - over historical (1990–2021) and projected mid-century (2034–2065) - eras. These statistics are defined - below. -
- -| Endpoint | -Example URL | +wt_min_mar |
+ + Minimum monthly mean stream temperature for March across all years in + era + | +degrees Celsius |
|---|---|---|---|---|
| Water temperature statistics | +wt_min_apr |
- /arctic_hydrology/wt_stats/81000004 + Minimum monthly mean stream temperature for April across all years in + era | +degrees Celsius | |
- CSV output is also available by appending ?format=csv to
- the URL.- The data source can be controlled with the ?source=
- parameter. Accepted values are:
-
?source=original_gcm&format=csv).
+ | wt_min_may |
+ + Minimum monthly mean stream temperature for May across all years in era | +degrees Celsius | |
- Query daily water temperature climatologies for all models. Useful for - constructing temperature hydrographs. Minimum, maximum, and mean values for - each day of year are computed over historical (1990–2021) and projected - mid-century (2034–2065) eras. -
- -| Endpoint | -Example URL | +wt_min_jun |
+ + Minimum monthly mean stream temperature for June across all years in era + | +degrees Celsius |
|---|---|---|---|---|
| Modeled daily water temperature climatologies | +wt_min_jul |
- /arctic_hydrology/wt_modeled_climatology/81000004 + Minimum monthly mean stream temperature for July across all years in era | +degrees Celsius | |
wt_min_aug |
+ + Minimum monthly mean stream temperature for August across all years in + era + | +degrees Celsius | +||
wt_min_sep |
+ + Minimum monthly mean stream temperature for September across all years + in era + | +degrees Celsius | +||
wt_min_oct |
+ + Minimum monthly mean stream temperature for October across all years in + era + | +degrees Celsius | +||
wt_min_nov |
+ + Minimum monthly mean stream temperature for November across all years in + era + | +degrees Celsius | +||
wt_min_dec |
+ + Minimum monthly mean stream temperature for December across all years in + era + | +degrees Celsius | +||
wt_max_jan |
+ + Maximum monthly mean stream temperature for January across all years in + era + | +degrees Celsius | +||
wt_max_feb |
+ + Maximum monthly mean stream temperature for February across all years in + era + | +degrees Celsius | +||
wt_max_mar |
+ + Maximum monthly mean stream temperature for March across all years in + era + | +degrees Celsius | +||
wt_max_apr |
+ + Maximum monthly mean stream temperature for April across all years in + era + | +degrees Celsius | +||
wt_max_may |
+ + Maximum monthly mean stream temperature for May across all years in era + | +degrees Celsius | +||
wt_max_jun |
+ + Maximum monthly mean stream temperature for June across all years in era + | +degrees Celsius | +||
wt_max_jul |
+ + Maximum monthly mean stream temperature for July across all years in era + | +degrees Celsius | +||
wt_max_aug |
+ + Maximum monthly mean stream temperature for August across all years in + era + | +degrees Celsius | +||
wt_max_sep |
+ + Maximum monthly mean stream temperature for September across all years + in era + | +degrees Celsius | +||
wt_max_oct |
+ + Maximum monthly mean stream temperature for October across all years in + era + | +degrees Celsius | +||
wt_max_nov |
+ + Maximum monthly mean stream temperature for November across all years in + era + | +degrees Celsius | +||
wt_max_dec |
+ + Maximum monthly mean stream temperature for December across all years in + era + | +degrees Celsius | +||
wt_ann_max_temp_mean |
+ + Mean (over era years) of the annual maximum daily stream temperature + | +degrees Celsius | +||
wt_ann_max_temp_doy_mean |
+ + Mean (over era years) Julian day of the annual maximum daily stream + temperature + | +Julian day | +||
wt_7d_max_temp_mean |
+ + Mean (over era years) of the annual maximum 7-day rolling average stream + temperature + | +degrees Celsius | +||
wt_7d_max_temp_doy_mean |
+ + Mean (over era years) Julian day of the center of the annual maximum + 7-day rolling average + | +Julian day | +||
wt_cdd_may_sept_mean |
+ + Mean (over era years) annual cumulative degree days above 0°C, May + through September + | +degree-days Celsius | +
+ Query hydrologic statistics for all models. Statistics are computed over + historical (1990–2021) and projected mid-century (2034–2065) eras. + These statistics are defined + below. +
+ +| Endpoint | +Example URL | +
|---|---|
| Hydrologic statistics | ++ /arctic_hydrology/stats/81000004 + | +
@@ -225,13 +382,19 @@ Modeled daily water temperature climatologies by stream ID
?source=original_gcm&format=csv).
@@ -240,46 +403,205 @@ Modeled daily water temperature climatologies by stream ID | |
Results from stream ID queries will look like this:
++ Query daily streamflow climatologies for all models. Useful for constructing + hydrographs. Minimum, maximum, and mean values for each day of year are + computed over historical (1990–2021) and projected mid-century + (2034–2065) eras. +
-
-{
- "data": {
- "C2LE2": {
- "2034-2065": {
- "dh1": 49214.59,
- "dh15": 23.0,
- ...
- "th1": 169.46,
- "tl1": 129.21
- }
- },
- ...
- "historical": {
- "1990-2021": {
- "dh1": 39168.64,
- "dh15": 22.75,
- ...
- "th1": 171.26,
- "tl1": 134.51
- }
- }
- },
- "id": "81000004",
- "latitude": 70.8283,
- "longitude": -155.4225,
- "metadata": {
- "source": {
- "citation": "Dylan Blaskey, Keith Musselman, Andrew Newman, & Yifan Cheng. (2024). Alaskan river discharge, temperature, and climate data for a climate reference (1990-2021) and at mid-century (2034-2065). Arctic Data Center. doi:10.18739/A25M62870."
- },
- "variables": {
- "dh1": {
- "description": "Mean annual maximum 1-day average flow.",
- "units": "cfs"
+| Endpoint | +Example URL | +
|---|---|
| Modeled daily streamflow climatologies | ++ /arctic_hydrology/modeled_climatology/81000004 + | +
+ CSV output is also available by appending ?format=csv to
+ the URL.+ The data source can be controlled with the ?source=
+ parameter. Accepted values are:
+
?source=original_gcm&format=csv).
+ |
+ |
+ Query water temperature statistics for all models. Statistics are computed + over historical (1990–2021) and projected mid-century (2034–2065) + eras. These statistics are defined + below. +
+ +| Endpoint | +Example URL | +
|---|---|
| Water temperature statistics | ++ /arctic_hydrology/wt_stats/81000004 + | +
+ CSV output is also available by appending ?format=csv to
+ the URL.+ The data source can be controlled with the ?source=
+ parameter. Accepted values are:
+
?source=original_gcm&format=csv).
+ |
+ |
+ Query daily water temperature climatologies for all models. Useful for + constructing temperature hydrographs. Minimum, maximum, and mean values for + each day of year are computed over historical (1990–2021) and projected + mid-century (2034–2065) eras. +
+ +| Endpoint | +Example URL | +
|---|---|
| Modeled daily water temperature climatologies | ++ /arctic_hydrology/wt_modeled_climatology/81000004 + | +
+ CSV output is also available by appending ?format=csv to
+ the URL.+ The data source can be controlled with the ?source=
+ parameter. Accepted values are:
+
?source=original_gcm&format=csv).
+ |
+ |
Results from stream ID queries will look like this:
+ +
+{
+ "data": {
+ "C2LE2": {
+ "2034-2065": {
+ "dh1": 49214.59,
+ "dh15": 23.0,
+ ...
+ "th1": 169.46,
+ "tl1": 129.21
+ }
+ },
+ ...
+ "historical": {
+ "1990-2021": {
+ "dh1": 39168.64,
+ "dh15": 22.75,
+ ...
+ "th1": 171.26,
+ "tl1": 134.51
+ }
+ }
+ },
+ "id": "81000004",
+ "latitude": 70.8283,
+ "longitude": -155.4225,
+ "metadata": {
+ "source": {
+ "citation": "Dylan Blaskey, Keith Musselman, Andrew Newman, & Yifan Cheng. (2024). Alaskan river discharge, temperature, and climate data for a climate reference (1990-2021) and at mid-century (2034-2065). Arctic Data Center. doi:10.18739/A25M62870."
+ },
+ "variables": {
+ "dh1": {
+ "description": "Mean annual maximum 1-day average flow.",
+ "units": "cfs"
},
"dh15": {
"description": "Median annual average duration of high flow pulses (above 75th percentile).",
@@ -561,775 +883,128 @@ Modeled water temperature statistics
...
}
},
- "watershed": <HUC8 or Yukon watershed ID>,
- "watershed_outlet": <true if segment is a watershed outlet>
-}
-
-
-Results from stream ID queries will look like this:
- -
-{
- "data": {
- "C2LE2": {
- "2034-2065": [
- {
- "doy": 1,
- "doy_max": 2.52,
- "doy_mean": 0.552,
- "doy_min": 0.1,
- "water_year_index": 93
- },
- {
- "doy": 2,
- "doy_max": 3.05,
- "doy_mean": 0.558,
- "doy_min": 0.1,
- "water_year_index": 94
- },
- ...
- {
- "doy": 365,
- "doy_max": 1.02,
- "doy_mean": 0.224,
- "doy_min": 0.1,
- "water_year_index": 91
- },
- {
- "doy": 366,
- "doy_max": 0.16,
- "doy_mean": 0.143,
- "doy_min": 0.1,
- "water_year_index": 92
- }
- ]
- },
- ...
- },
- "id": "81000004",
- "latitude": 70.8292,
- "longitude": -155.42,
- "metadata": {
- "source": {
- "citation": "Dylan Blaskey, Keith Musselman, Andrew Newman, & Yifan Cheng. (2024). Alaskan river discharge, temperature, and climate data for a climate reference (1990-2021) and at mid-century (2034-2065). Arctic Data Center. doi:10.18739/A25M62870."
- },
- "variables": {
- "doy": {
- "description": "Day of year (1-366); all years are treated as leap years for consistency.",
- "units": "day of year"
- },
- "doy_max": {
- "description": "Maximum stream temperature on the specified day of year, aggregated over all years in the era.",
- "units": "degC"
- },
- "doy_mean": {
- "description": "Mean stream temperature on the specified day of year, aggregated over all years in the era.",
- "units": "degC"
- },
- "doy_min": {
- "description": "Minimum stream temperature on the specified day of year, aggregated over all years in the era.",
- "units": "degC"
- },
- "water_year_index": {
- "description": "Water year day index (1-366), where the water year starts on October 1 (DOY 275) and ends on September 30 (DOY 274).",
- "units": "water year day index"
- }
- }
- },
- "watershed": "19060206",
- "watershed_outlet": true
-}
-
-
-- Note that latitude and longitude values represent the approximate centroid of - the stream segment. Modeled data uses a 366 day year. The above output is - structured like this: -
- -
-{
- "data": {
- <model>: {
- <era>: [
- {
- <variable>: <value>,
- ...
- },
- ...
- ],
- ...
- },
- ...
- },
- "id": <stream ID>,
- "latitude": <latitude of stream segment>,
- "longitude": <longitude of stream segment>,
- "metadata": {
- "source": {
- "citation": <academic reference for source data>
- },
- "variables": {
- <variable>: {
- "description": <description of variable>,
- "units": <units of variable>
- },
- ...
- }
- },
- "watershed": <HUC8 or Yukon watershed ID>,
- "watershed_outlet": <true if segment is a watershed outlet>
-}
-
-
-| ID | -Description | -Units | -
|---|---|---|
dh1 |
- Mean annual maximum 1-day average flow | -cubic feet per second | -
dh2 |
- Mean annual maximum 3-day average flow | -cubic feet per second | -
dh3 |
- Mean annual maximum 7-day average flow | -cubic feet per second | -
dh4 |
- Mean annual maximum 30-day average flow | -cubic feet per second | -
dh5 |
- Mean annual maximum 90-day average flow | -cubic feet per second | -
dh15 |
- - Median annual average duration of high flow pulses (above 75th - percentile) - | -days per year | -
dl1 |
- Mean annual minimum 1-day average flow | -cubic feet per second | -
dl2 |
- Mean annual minimum 3-day average flow | -cubic feet per second | -
dl3 |
- Mean annual minimum 7-day average flow | -cubic feet per second | -
dl4 |
- Mean annual minimum 30-day average flow | -cubic feet per second | -
dl5 |
- Mean annual minimum 90-day average flow | -cubic feet per second | -
dl16 |
- - Median annual average duration of low flow pulses (below 25th - percentile) - | -days per year | -
lf1 |
- - Median annual number of days below threshold of 0.1 cfs per square mile - | -days per year | -
spr_dur3 |
- - Median spring (April–June) maximum 3-day moving average flow - | -cubic feet per second | -
spr_dur7 |
- - Median spring (April–June) maximum 7-day moving average flow - | -cubic feet per second | -
sum_dur3 |
- - Median summer (July–September) minimum 3-day moving average flow - | -cubic feet per second | -
sum_dur7 |
- - Median summer (July–September) minimum 7-day moving average flow - | -cubic feet per second | -
fh1 |
- Mean annual count of high flow pulses above 75th percentile | -events per year | -
fh5 |
- Mean annual flood frequency above median flow | -events per year | -
fh6 |
- Mean annual flood frequency above 3× median flow | -events per year | -
fh7 |
- Mean annual flood frequency above 7× median flow | -events per year | -
fl1 |
- Mean annual count of low flow pulses below 25th percentile | -events per year | -
fl3 |
- Mean annual count of events below 5 percent of mean flow | -events per year | -
spr_freq |
- - Median spring (April–June) count of flow events above 10th - percentile of full record - | -events per year | -
sum_freq |
- - Median summer (July–September) count of flow events below 90th - percentile of full record - | -events per year | -
ma3 |
- - Coefficient of variation (std/mean) of annual daily flows; mean of - annual CVs - | -percent | -
ma4 |
- - Standard deviation of percentiles of log-transformed flow divided by - mean of those percentiles - | -percent | -
ma12 |
- Mean of monthly flow values for January | -cubic feet per second | -
ma13 |
- Mean of monthly flow values for February | -cubic feet per second | -
ma14 |
- Mean of monthly flow values for March | -cubic feet per second | -
ma15 |
- Mean of monthly flow values for April | -cubic feet per second | -
ma16 |
- Mean of monthly flow values for May | -cubic feet per second | -
ma17 |
- Mean of monthly flow values for June | -cubic feet per second | -
ma18 |
- Mean of monthly flow values for July | -cubic feet per second | -
ma19 |
- Mean of monthly flow values for August | -cubic feet per second | -
ma20 |
- Mean of monthly flow values for September | -cubic feet per second | -
ma21 |
- Mean of monthly flow values for October | -cubic feet per second | -
ma22 |
- Mean of monthly flow values for November | -cubic feet per second | -
ma23 |
- Mean of monthly flow values for December | -cubic feet per second | -
ma99 |
- Mean annual flow: average of monthly mean flows (ma12–ma23) | -cubic feet per second | -
mh14 |
- Median of (annual maximum flow / median annual flow) ratios | -dimensionless | -
mh20 |
- - Mean annual maximum flow divided by drainage area (specific discharge) - | -cubic feet per second per square mile | -
ml17 |
- - Base flow index: mean of annual (7-day minimum flow / mean annual flow) - ratios - | -dimensionless | -
spr_mag |
- - Median spring (April–June) maximum flow divided by drainage area - | -cubic feet per second per square mile | -
sum_cv |
- - Median annual coefficient of variation of summer (July–September) - flows - | -percent | -
sum_mag |
- - Median summer (July–September) minimum flow divided by drainage - area - | -cubic feet per second per square mile | -
ra1 |
- Mean rise rate: mean of positive daily flow changes | -cubic feet per second per day | -
ra3 |
- Mean fall rate: mean of negative daily flow changes | -cubic feet per second per day | -
ra8 |
- Median annual number of flow direction reversals | -days per year | -
spr_ord |
- Median Julian date of spring (April–June) maximum flow | -Julian day | -
sum_ord |
- Median Julian date of summer (July–September) minimum flow | -Julian day | -
th1 |
- Median Julian date of annual maximum flow | -Julian day | -
tl1 |
- Median Julian date of annual minimum flow | -Julian day | -
| ID | -Description | -Units | -
|---|---|---|
wt_days_gt13_mean |
- Mean annual count of days with stream temperature > 13°C | -days per year | -
wt_days_gt18_mean |
- Mean annual count of days with stream temperature > 18°C | -days per year | -
wt_days_gt20_mean |
- Mean annual count of days with stream temperature > 20°C | -days per year | -
wt_mean_jan |
- Mean of monthly mean stream temperatures for January | -degrees Celsius | -
wt_mean_feb |
- Mean of monthly mean stream temperatures for February | -degrees Celsius | -
wt_mean_mar |
- Mean of monthly mean stream temperatures for March | -degrees Celsius | -
wt_mean_apr |
- Mean of monthly mean stream temperatures for April | -degrees Celsius | -
wt_mean_may |
- Mean of monthly mean stream temperatures for May | -degrees Celsius | -
wt_mean_jun |
- Mean of monthly mean stream temperatures for June | -degrees Celsius | -
wt_mean_jul |
- Mean of monthly mean stream temperatures for July | -degrees Celsius | -
wt_mean_aug |
- Mean of monthly mean stream temperatures for August | -degrees Celsius | -
wt_mean_sep |
- Mean of monthly mean stream temperatures for September | -degrees Celsius | -
wt_mean_oct |
- Mean of monthly mean stream temperatures for October | -degrees Celsius | -
wt_mean_nov |
- Mean of monthly mean stream temperatures for November | -degrees Celsius | -
wt_mean_dec |
- Mean of monthly mean stream temperatures for December | -degrees Celsius | -
wt_min_jan |
- - Minimum monthly mean stream temperature for January across all years in - era - | -degrees Celsius | -
wt_min_feb |
- - Minimum monthly mean stream temperature for February across all years in - era - | -degrees Celsius | -
wt_min_mar |
- - Minimum monthly mean stream temperature for March across all years in - era - | -degrees Celsius | -
wt_min_apr |
- - Minimum monthly mean stream temperature for April across all years in - era - | -degrees Celsius | -
wt_min_may |
- - Minimum monthly mean stream temperature for May across all years in era - | -degrees Celsius | -
wt_min_jun |
- - Minimum monthly mean stream temperature for June across all years in era - | -degrees Celsius | -
wt_min_jul |
- - Minimum monthly mean stream temperature for July across all years in era - | -degrees Celsius | -
wt_min_aug |
- - Minimum monthly mean stream temperature for August across all years in - era - | -degrees Celsius | -
wt_min_sep |
- - Minimum monthly mean stream temperature for September across all years - in era - | -degrees Celsius | -
wt_min_oct |
- - Minimum monthly mean stream temperature for October across all years in - era - | -degrees Celsius | -
wt_min_nov |
- - Minimum monthly mean stream temperature for November across all years in - era - | -degrees Celsius | -
wt_min_dec |
- - Minimum monthly mean stream temperature for December across all years in - era - | -degrees Celsius | -
wt_max_jan |
- - Maximum monthly mean stream temperature for January across all years in - era - | -degrees Celsius | -
wt_max_feb |
- - Maximum monthly mean stream temperature for February across all years in - era - | -degrees Celsius | -
wt_max_mar |
- - Maximum monthly mean stream temperature for March across all years in - era - | -degrees Celsius | -
wt_max_apr |
- - Maximum monthly mean stream temperature for April across all years in - era - | -degrees Celsius | -
wt_max_may |
- - Maximum monthly mean stream temperature for May across all years in era - | -degrees Celsius | -
wt_max_jun |
- - Maximum monthly mean stream temperature for June across all years in era - | -degrees Celsius | -
wt_max_jul |
- - Maximum monthly mean stream temperature for July across all years in era - | -degrees Celsius | -
wt_max_aug |
- - Maximum monthly mean stream temperature for August across all years in - era - | -degrees Celsius | -
wt_max_sep |
- - Maximum monthly mean stream temperature for September across all years - in era - | -degrees Celsius | -
wt_max_oct |
- - Maximum monthly mean stream temperature for October across all years in - era - | -degrees Celsius | -
wt_max_nov |
- - Maximum monthly mean stream temperature for November across all years in - era - | -degrees Celsius | -
wt_max_dec |
- - Maximum monthly mean stream temperature for December across all years in - era - | -degrees Celsius | -
wt_ann_max_temp_mean |
- - Mean (over era years) of the annual maximum daily stream temperature - | -degrees Celsius | -
wt_ann_max_temp_doy_mean |
- - Mean (over era years) Julian day of the annual maximum daily stream - temperature - | -Julian day | -
wt_7d_max_temp_mean |
- - Mean (over era years) of the annual maximum 7-day rolling average stream - temperature - | -degrees Celsius | -
wt_7d_max_temp_doy_mean |
- - Mean (over era years) Julian day of the center of the annual maximum - 7-day rolling average - | -Julian day | -
wt_cdd_may_sept_mean |
- - Mean (over era years) annual cumulative degree days above 0°C, May - through September - | -degree-days Celsius | -
Results from stream ID queries will look like this:
+ +
+{
+ "data": {
+ "C2LE2": {
+ "2034-2065": [
+ {
+ "doy": 1,
+ "doy_max": 2.52,
+ "doy_mean": 0.552,
+ "doy_min": 0.1,
+ "water_year_index": 93
+ },
+ {
+ "doy": 2,
+ "doy_max": 3.05,
+ "doy_mean": 0.558,
+ "doy_min": 0.1,
+ "water_year_index": 94
+ },
+ ...
+ {
+ "doy": 365,
+ "doy_max": 1.02,
+ "doy_mean": 0.224,
+ "doy_min": 0.1,
+ "water_year_index": 91
+ },
+ {
+ "doy": 366,
+ "doy_max": 0.16,
+ "doy_mean": 0.143,
+ "doy_min": 0.1,
+ "water_year_index": 92
+ }
+ ]
+ },
+ ...
+ },
+ "id": "81000004",
+ "latitude": 70.8292,
+ "longitude": -155.42,
+ "metadata": {
+ "source": {
+ "citation": "Dylan Blaskey, Keith Musselman, Andrew Newman, & Yifan Cheng. (2024). Alaskan river discharge, temperature, and climate data for a climate reference (1990-2021) and at mid-century (2034-2065). Arctic Data Center. doi:10.18739/A25M62870."
+ },
+ "variables": {
+ "doy": {
+ "description": "Day of year (1-366); all years are treated as leap years for consistency.",
+ "units": "day of year"
+ },
+ "doy_max": {
+ "description": "Maximum stream temperature on the specified day of year, aggregated over all years in the era.",
+ "units": "degC"
+ },
+ "doy_mean": {
+ "description": "Mean stream temperature on the specified day of year, aggregated over all years in the era.",
+ "units": "degC"
+ },
+ "doy_min": {
+ "description": "Minimum stream temperature on the specified day of year, aggregated over all years in the era.",
+ "units": "degC"
+ },
+ "water_year_index": {
+ "description": "Water year day index (1-366), where the water year starts on October 1 (DOY 275) and ends on September 30 (DOY 274).",
+ "units": "water year day index"
+ }
+ }
+ },
+ "watershed": "19060206",
+ "watershed_outlet": true
+}
+
+
++ Note that latitude and longitude values represent the approximate centroid of + the stream segment. Modeled data uses a 366 day year. The above output is + structured like this: +
+ +
+{
+ "data": {
+ <model>: {
+ <era>: [
+ {
+ <variable>: <value>,
+ ...
+ },
+ ...
+ ],
+ ...
+ },
+ ...
+ },
+ "id": <stream ID>,
+ "latitude": <latitude of stream segment>,
+ "longitude": <longitude of stream segment>,
+ "metadata": {
+ "source": {
+ "citation": <academic reference for source data>
+ },
+ "variables": {
+ <variable>: {
+ "description": <description of variable>,
+ "units": <units of variable>
+ },
+ ...
+ }
+ },
+ "watershed": <HUC8 or Yukon watershed ID>,
+ "watershed_outlet": <true if segment is a watershed outlet>
+}
+
+ Streamflow and water temperature were modeled using climate inputs
+ dynamically downscaled from the following six model runs, all produced at the
+ National Center for Atmospheric Research (NCAR). The historical baseline
+ (reported under the historical key, the Blaskey hindcast) was
+ instead produced by dynamically downscaling ERA5 reanalysis data over the
+ same domain for 1990–2021.
+
| Model | +Description | +Emissions scenario | +
|---|---|---|
C2LE2 |
+ Dynamically downscaled CESM2 Large Ensemble member 2 | +SSP3-7.0 | +
C2LE4 |
+ Dynamically downscaled CESM2 Large Ensemble member 4 | +SSP3-7.0 | +
C2LE7 |
+ Dynamically downscaled CESM2 Large Ensemble member 7 | +SSP3-7.0 | +
C2LE9 |
+ Dynamically downscaled CESM2 Large Ensemble member 9 | +SSP3-7.0 | +
PGWh |
+ + High hydroclimate change scenario using the pseudo-global warming (PGW) + method, derived from the mean perturbations of the 75th–100th + percentile of SSP2-4.5 CMIP6 models + | +SSP2-4.5 (PGW) | +
PGWm |
+ + Median hydroclimate change scenario using the pseudo-global warming + (PGW) method, derived from the mean perturbations of the + 25th–75th percentile of SSP2-4.5 CMIP6 models + | +SSP2-4.5 (PGW) | +
We also include endpoints to access daily streamflow climatologies from - associated USGS stream gage data collected over the 1976–2005 - historical period, for use in comparing with the modeled data. Note that not - all modeled stream segments have associated gage data. See the + associated USGS stream gage data collected over the 1976–2005 historical + period, for use in comparing with the modeled data. Note that not all modeled + stream segments have associated gage data. See the /conus_hydrology/gage_info endpoint for a list of all stream IDs with gage data.
@@ -35,8 +39,7 @@Query hydrologic statistics for all models and scenarios. Statistics are computed over historical (1976–2005) and future (2016–2045, - 2046–2075, and 2071–2100) eras. These statistics are defined - below. + 2046–2075, and 2071–2100) eras.
| ID | -Description | -Units | +Academic reference |
|---|---|---|---|
dh1 | Annual maximum daily flow | cubic feet per second | |
dh2 | Annual maximum of 3-day moving average flows | cubic feet per second | |
dh3 | Annual maximum of 7-day moving average flows | cubic feet per second | |
dh4 | Annual maximum of 30-day moving average flows | cubic feet per second | |
dh5 | Annual maximum of 90-day moving average flows | cubic feet per second | |
dh15 | High flow pulse duration | days per year | |
dl1 | Annual minimum daily flow | cubic feet per second | |
dl2 | Annual minimum of 3-day moving average flow | cubic feet per second | |
dl3 | Annual minimum of 7-day moving average flow | cubic feet per second | |
dl4 | Annual minimum of 30-day moving average flow | cubic feet per second | |
dl5 | Annual minimum of 90-day moving average flow | cubic feet per second | |
dl16 | Low flow pulse duration | days per year | |
lf1 | Number of days per year below a low-flow threshold | days per year | |
spr_dur3 | Spring (April–June) maximum of 3-day moving average flows | cubic feet per second | |
spr_dur7 | Spring (April–June) maximum of 7-day moving average flows | cubic feet per second | |
sum_dur3 | Summer (July–September) minimum of 3-day moving average flow | cubic feet per second | |
sum_dur7 | Summer (July–September) minimum of 7-day moving average flow | cubic feet per second | |
fh1 | High flood pulse count | events per year | |
fh5 | Flood frequency (above median flow) | events per year | |
fh6 | Flood frequency (above 3× median flow) | events per year | |
fh7 | Flood frequency (above 7× median flow) | events per year | |
fl1 | Low flood pulse count | events per year | |
fl3 | Frequency of low pulse spells | events per year | |
spr_freq | Spring flood frequency (April–June) | events per year | |
sum_freq | Summer flood frequency (July–September) | events per year | |
ma3 | Coefficient of variation of annual daily flows | percent | |
ma4 | Standard deviation divided by mean of log-flow percentiles | percent | |
ma12 | Mean of monthly flow values for January | cubic feet per second | |
ma13 | Mean of monthly flow values for February | cubic feet per second | |
ma14 | Mean of monthly flow values for March | cubic feet per second | |
ma15 | Mean of monthly flow values for April | cubic feet per second | |
ma16 | Mean of monthly flow values for May | cubic feet per second | |
ma17 | Mean of monthly flow values for June | cubic feet per second | |
ma18 | Mean of monthly flow values for July | cubic feet per second | |
ma19 | Mean of monthly flow values for August | cubic feet per second | |
ma20 | Mean of monthly flow values for September | cubic feet per second | |
ma21 | Mean of monthly flow values for October | cubic feet per second | |
ma22 | Mean of monthly flow values for November | cubic feet per second | |
ma23 | Mean of monthly flow values for December | cubic feet per second | |
ma99 | Annual mean streamflow, calculated as the mean of the monthly mean flows | cubic feet per second | |
mh14 | Median ratio of annual maximum flow to median annual flow | dimensionless | |
mh20 | Specific mean annual maximum flow | cubic feet per second per square mile | |
ml17 | Base flow index | dimensionless | |
spr_mag | Specific mean spring (April–June) maximum flow | cubic feet per second per square mile | |
sum_cv | Coefficient of variation of summer daily flows | percent | |
sum_mag | Minimum summer flow divided by drainage area | cubic feet per second per square mile | |
ra1 | Rise rate | cubic feet per second per day | |
ra3 | Fall rate | cubic feet per second per day | |
ra8 | Number of flow reversals | days | |
spr_ord | Julian date of spring maximum flow | Julian day | |
sum_ord | Julian date of summer minimum flow | Julian day | |
th1 | Julian date of annual maximum flow | Julian day | |
tl1 | Julian date of annual minimum flow | Julian day |
| Academic reference | -
|---|
| - LaFontaine, J.H., and Riley, J.W., 2023, Model Input and Output - for Hydrologic Simulations for the Conterminous United States for - Historical and Future Conditions Using the National Hydrologic - Model Infrastructure (NHM) and the Coupled Model Intercomparison - Project Phase 5 (CMIP5), 1950–2100: U.S. Geological Survey - data release, - https://doi.org/10.5066/P9EBKREQ. - | -
| - Regan, R.S., Markstrom, S.L., Hay, L.E., Viger, R.J., Norton, - P.A., Driscoll, J.M., LaFontaine, J.H., 2018, Description of the - National Hydrologic Model for use with the - Precipitation–Runoff Modeling System (PRMS): U.S. Geological - Survey Techniques and Methods, book 6, chap B9, 38 p., - https://doi.org/10.3133/tm6B9. - | -
| - LaFontaine, J.H., Hay, L.E., and Riley, J.R., 2023, Application of - the National Hydrologic Model Infrastructure with the - Precipitation–Runoff Modeling System (NHM-PRMS), - 1950–2010, Maurer Calibration: U.S. Geological Survey data - release, - https://doi.org/10.5066/P9CVHLMB. - | -
| - U.S. Geological Survey, 2025, U.S. Geological Survey National - Water Information System database, at - https://doi.org/10.5066/F7P55KJN. Data download directly accessible at - https://api.waterdata.usgs.gov/ogcapi/v0/collections/daily. - | -
+ Streamflow was modeled using climate inputs from the following 13 CMIP5 + general circulation models (GCMs). Each model also includes a historical run + covering the 1976–2005 era. +
+ +| Model | +Modeling center | +Emissions scenarios | +
|---|---|---|
ACCESS1-0 |
+ + Commonwealth Scientific and Industrial Research Organization and Bureau + of Meteorology, Australia + | +RCP 4.5, RCP 8.5 | +
BCC-CSM1-1 |
+ Beijing Climate Center, China Meteorological Administration, China | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
BNU-ESM |
+ + College of Global Change and Earth System Science, Beijing Normal + University, China + | +RCP 4.5, RCP 8.5 | +
CCSM4 |
+ National Center for Atmospheric Research, USA | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
GFDL-ESM2G |
+ + National Oceanic and Atmospheric Administration Geophysical Fluid + Dynamics Laboratory, USA + | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
GFDL-ESM2M |
+ + National Oceanic and Atmospheric Administration Geophysical Fluid + Dynamics Laboratory, USA + | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
IPSL-CM5A-LR |
+ Institut Pierre-Simon Laplace, France | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
IPSL-CM5A-MR |
+ Institut Pierre-Simon Laplace, France | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
MIROC5 |
+ + Japan Agency for Marine-Earth Science and Technology, Atmospheric and + Ocean Research Institute (The University of Tokyo), and National + Institute for Environmental Studies, Japan + | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
MIROC-ESM |
+ + Japan Agency for Marine-Earth Science and Technology, Atmospheric and + Ocean Research Institute (The University of Tokyo), and National + Institute for Environmental Studies, Japan + | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
MIROC-ESM-CHEM |
+ + Japan Agency for Marine-Earth Science and Technology, Atmospheric and + Ocean Research Institute (The University of Tokyo), and National + Institute for Environmental Studies, Japan + | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
MRI-CGCM3 |
+ Meteorological Research Institute, Japan | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
NorESM1-M |
+ Norwegian Climate Centre, Norway | +RCP 2.6, RCP 4.5, RCP 6.0, RCP 8.5 | +
+ The table below defines each streamflow statistic. The difference method
+ column indicates how ?source=gcm_diff values are expressed for
+ that statistic: as a ratio (projected divided by historical) or as an
+ absolute difference (projected minus historical).
+
| ID | +Category | +Description | +Difference method | +Units | +
|---|---|---|---|---|
dh1 |
+ Duration | ++ Annual maximum daily flow. Compute the maximum of a 1-day moving + average flow for each year. DH1 is the mean of these values (cubic feet + per second, temporal). + | +ratio | +cubic feet per second | +
dh2 |
+ Duration | ++ Annual maximum of 3-day moving average flows. Compute the maximum of a + 3-day moving average flow for each year. DH2 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dh3 |
+ Duration | ++ Annual maximum of 7-day moving average flows. Compute the maximum of a + 7-day moving average flow for each year. DH3 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dh4 |
+ Duration | ++ Annual maximum of 30-day moving average flows. Compute the maximum of a + 30-day moving average flow for each year. DH4 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dh5 |
+ Duration | ++ Annual maximum of 90-day moving average flows. Compute the maximum of a + 90-day moving average flow for each year. DH5 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dh15 |
+ Duration | ++ High flow pulse duration. Compute the average duration for flow events + with flows above a threshold equal to the 75th percentile value for + each year in the flow record. DH15 is the median of the yearly average + durations (days/year, temporal). + | +ratio | +days per year | +
dl1 |
+ Duration | ++ Annual minimum daily flow. Compute the minimum 1-day average flow for + each year. DL1 is the mean of these values (cubic feet per second, + temporal). + | +ratio | +cubic feet per second | +
dl2 |
+ Duration | ++ Annual minimum of 3-day moving average flow. Compute the minimum of a + 3-day moving average flow for each year. DL2 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dl3 |
+ Duration | ++ Annual minimum of 7-day moving average flow. Compute the minimum of a + 7-day moving average flow for each year. DL3 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dl4 |
+ Duration | ++ Annual minimum of 30-day moving average flow. Compute the minimum of a + 30-day moving average flow for each year. DL4 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dl5 |
+ Duration | ++ Annual minimum of 90-day moving average flow. Compute the minimum of a + 90-day moving average flow for each year. DL5 is the mean of these + values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
dl16 |
+ Duration | ++ Low flow pulse duration. Compute the average pulse duration for each + year for flow events below a threshold equal to the 25th percentile + value for the entire flow record. DL16 is the median of the yearly + average durations (days/year, temporal). + | +ratio | +days per year | +
lf1 |
+ Duration | ++ Number of days per year below a threshold of 0.1 cubic feet per second + per square mile. LF1 is the median annual number of days below the + threshold (number of days/year, temporal). + | +absolute | +days per year | +
spr_dur3 |
+ Duration | ++ Spring (April–June) maximum of 3-day moving average flows. + Compute the maximum of a 3-day moving average flow for each year. + SPR_DUR3 is the median of these values (cubic feet per second, + temporal). + | +ratio | +cubic feet per second | +
spr_dur7 |
+ Duration | ++ Spring (April–June) maximum of 7-day moving average flows. + Compute the maximum of a 7-day moving average flow for each year. + SPR_DUR7 is the median of these values (cubic feet per second, + temporal). + | +ratio | +cubic feet per second | +
sum_dur3 |
+ Duration | ++ Summer (July–September) minimum of 3-day moving average flow. + Compute the minimum of a 3-day moving average flow for each year. + SUM_DUR3 is the median of these values (cubic feet per second, + temporal). + | +ratio | +cubic feet per second | +
sum_dur7 |
+ Duration | ++ Summer (July–September) minimum of 7-day moving average flow. + Compute the minimum of a 7-day moving average flow for each year. + SUM_DUR7 is the median of these values (cubic feet per second, + temporal). + | +ratio | +cubic feet per second | +
fh1 |
+ Frequency | ++ High flood pulse count. Compute the average number of flow events with + flows above a threshold equal to the 75th percentile value for the + entire flow record. FH1 is the mean number of events (number of + events/year, temporal). + | +absolute | +events per year | +
fh5 |
+ Frequency | ++ Flood frequency. Compute the average number of flow events with flows + above a threshold equal to the median flow value for the entire flow + record. FH5 is the mean number of events (number of events/year, + temporal). + | +absolute | +events per year | +
fh6 |
+ Frequency | ++ Flood frequency. Compute the average number of flow events with flows + above a threshold equal to three times the median flow value for the + entire flow record. FH6 is the mean number of events (number of + events/year, temporal). + | +absolute | +events per year | +
fh7 |
+ Frequency | ++ Flood frequency. Compute the average number of flow events with flows + above a threshold equal to seven times the median flow value for the + entire flow record. FH7 is the mean number of events (number of + events/year, temporal). + | +absolute | +events per year | +
fl1 |
+ Frequency | ++ Low flood pulse count. Compute the average number of flow events with + flows below a threshold equal to the 25th percentile value for the + entire flow record. FL1 is the mean number of events (number of + events/year, temporal). + | +absolute | +events per year | +
fl3 |
+ Frequency | ++ Frequency of low pulse spells. Compute the average number of flow + events with flows below a threshold equal to 5 percent of the mean flow + value for the entire flow record. FL3 is the mean number of events + (number of events/year, temporal). + | +absolute | +events per year | +
spr_freq |
+ Frequency | ++ Flood frequency for April–June. Compute the average number of + flow events with flows above a threshold equal to the 10th percentile + for the entire flow record. SPR_FREQ is the median number of events + (number of events/year, temporal). + | +absolute | +events per year | +
sum_freq |
+ Frequency | ++ Flood frequency for July–September. Compute the average number of + flow events with flows below a threshold equal to the 90th percentile + for the entire flow record. SUM_FREQ is the median number of events + (number of events/year, temporal). + | +absolute | +events per year | +
ma3 |
+ Magnitude | ++ Coefficient of variation (standard deviation/mean) for each year. + Compute the coefficient of variation for each year of daily flows. + Compute the mean of the annual coefficients of variation (percent, + temporal). + | +ratio | +percent | +
ma4 |
+ Magnitude | ++ Standard deviation of the percentiles of the logs of the entire flow + record divided by the mean of percentiles of the logs. Compute the + log10 of the daily flows for the entire record. Compute the 5th, 10th, + 15th, 20th, 25th, 30th, 35th, 40th, 45th, 50th, 55th, 60th, 65th, 70th, + 75th, 80th, 85th, 90th, and 95th percentiles for the logs of the entire + flow record. Percentiles are computed by interpolating between the + ordered (ascending) logs of the flow values. Compute the standard + deviation and mean for the percentile values. Divide the standard + deviation by the mean (percent, spatial). + | +ratio | +percent | +
ma12 |
+ Magnitude | +Mean of monthly flow values for January. | +ratio | +cubic feet per second | +
ma13 |
+ Magnitude | +Mean of monthly flow values for February. | +ratio | +cubic feet per second | +
ma14 |
+ Magnitude | +Mean of monthly flow values for March. | +ratio | +cubic feet per second | +
ma15 |
+ Magnitude | +Mean of monthly flow values for April. | +ratio | +cubic feet per second | +
ma16 |
+ Magnitude | +Mean of monthly flow values for May. | +ratio | +cubic feet per second | +
ma17 |
+ Magnitude | +Mean of monthly flow values for June. | +ratio | +cubic feet per second | +
ma18 |
+ Magnitude | +Mean of monthly flow values for July. | +ratio | +cubic feet per second | +
ma19 |
+ Magnitude | +Mean of monthly flow values for August. | +ratio | +cubic feet per second | +
ma20 |
+ Magnitude | +Mean of monthly flow values for September. | +ratio | +cubic feet per second | +
ma21 |
+ Magnitude | +Mean of monthly flow values for October. | +ratio | +cubic feet per second | +
ma22 |
+ Magnitude | +Mean of monthly flow values for November. | +ratio | +cubic feet per second | +
ma23 |
+ Magnitude | +Mean of monthly flow values for December. | +ratio | +cubic feet per second | +
ma99 |
+ Magnitude | ++ Mean of monthly flow values for the entire year. Compute the mean of + the monthly mean flows for each month of the year. MA99 is the mean of + these 12 values (cubic feet per second, temporal). + | +ratio | +cubic feet per second | +
mh14 |
+ Magnitude | ++ Median of annual maximum flows. Compute the annual maximum flows from + monthly maximum flows. Compute the ratio of annual maximum flow to + median annual flow for each year. MH14 is the median of these ratios + (dimensionless, temporal). + | +ratio | +dimensionless | +
mh20 |
+ Magnitude | ++ Specific mean annual maximum flow. MH20 is the mean of the annual + maximum flows divided by the drainage area (cubic feet per second/ + square mile, temporal). + | +ratio | +cubic feet per second per square mile | +
ml17 |
+ Magnitude | ++ Base flow. Compute the mean annual flows. Compute the minimum of a + 7-day moving average flow for each year and divide them by the mean + annual flow for that year. ML17 is the median of those ratios + (dimensionless, temporal). + | +ratio | +dimensionless | +
spr_mag |
+ Magnitude | ++ Specific mean spring (April–June) maximum flow. SPR_MAG is the + median of the annual maximum flows divided by the drainage area (cubic + feet per second/square mile, temporal). + | +ratio | +cubic feet per second per square mile | +
sum_cv |
+ Magnitude | ++ Coefficient of variation (standard deviation/mean) for each year for + the summer (July–September). Compute the coefficient of variation + for each year of daily flows. Compute the median of the annual + coefficients of variation (percent, temporal). + | +ratio | +percent | +
sum_mag |
+ Magnitude | ++ Minimum of the summer (July–September) flows divided by the + drainage area (cubic feet per second/square mile, temporal). + | +absolute | +cubic feet per second per square mile | +
ra1 |
+ Rate of change | ++ Rise rate. Compute the change in flow for days in which the change is + positive for the entire flow record. RA1 is the mean of these values + (cubic feet per second/day, temporal). + | +ratio | +cubic feet per second per day | +
ra3 |
+ Rate of change | ++ Fall rate. Compute the change in flow for days in which the change is + negative for the entire flow record. RA3 is the mean of these values + (cubic feet per second/day, temporal). + | +ratio | +cubic feet per second per day | +
ra8 |
+ Rate of change | ++ Number of reversals. Compute the number of days in each year when the + change in flow from one day to the next changes direction. RA8 is the + mean of the yearly values (days, temporal). + | +ratio | +days per year | +
spr_ord |
+ Timing | ++ Julian date of spring (April–June) maximum. Determine the Julian + date that the maximum flow occurs for each year. SPR_ORD is the median + of these values (Julian day, temporal). + | +absolute | +Julian day | +
sum_ord |
+ Timing | ++ Julian date of summer (July–September) minimum. Determine the + Julian date that the minimum flow occurs for each water year. SUM_ORD + is the median of these values (Julian day, temporal). + | +absolute | +Julian day | +
th1 |
+ Timing | ++ Julian date of annual maximum. Determine the Julian date that the + maximum flow occurs for each year. TH1 is the median of these values + (Julian day, temporal). + | +absolute | +Julian day | +
tl1 |
+ Timing | ++ Julian date of annual minimum. Determine the Julian date that the + minimum flow occurs for each water year. TL1 is the median of these + values (Julian day, temporal). + | +absolute | +Julian day | +