Cache la Poudre streamflow intermittency

This resource contains the data used in Peterson et al. "Predicting streamflow from crowd-sourced flow observations".

sensor_daily.csv contains the stage data from sensors presented as:
-stage = offset-adjusted and quality-checked sensor stage data
-norm = stage divided by the maximum stage recorded at the sensor
-gapfill = norm time series with short data gaps filled with linear interpolation

The Monthly Snow Persistence folder contains mean snow persistence layers for January and April. The average values are derived from MODIS satellite data from 2016-2020.

streamtracker.csv contains the Stream Tracker flow presence/absence data for April-October. Columns are Stream Tracker sites. Empty cells indicate no data; 0 indicates no flow or standing water, and 1 indicates flow.

attributes.csv contains the watershed attributes for each sensor and Stream Tracker site. Columns are:
-site = ID for sensor or Stream Tracker site
-type = observation type - sensor or Stream Tracker (st)
-elevation = elevation group; high for watersheds in the persistent snow zone and low for all others
-Nobs = number of observations at site; sensor sites set at 100 for graphing purposes
-fracFlow = calculated flow fraction from observations, (number of flow observations)/(total numer of observations)
-ma_p = mean annual precipitation (mm), PRISM
-mmp_may = mean may precipitation (mm), PRISM
-p_summer = mean summer (june, july, august) precipitation (mm)
-mmsp_jan = mean january snow persistence (Hammond et al. 2020)
-mmsp_apr =mean april snow persistence (Hammond et al. 2020)
-AI_summer = mean summer aridity index (p_summer / PET_summer) where PET is potential evapotranspiration from gridMET reference evapotranspiration
-area_km2 = drainage area in square km
-slope_local = slope of the stream at the monitoring point (m/m)
-aws = available water storage (mm), gSSURGO
-metamorphi = fraction area with metamorphic bedrock (Horton et al. 2017)
-ksat = saturated hydraulic conductivity (um/s), gSSURGO
-pct_clay = average % clay in soil, gSSURGO
-HSG_C = fraction area with hydrologic soil group C, gSSURGO
-LF_herb = fraction area with herbaceous land cover, LANDFIRE
-burn_10 = fraction area within a wildfire boundary from the last 10 years, MTBS

predicted_flow_fraction is a raster TIFF file with 30 m resolution displaying our best performing (≥10 sample) random forest model flow fraction predictions for the entire study area. Values are continuous from 0-1, where 1 represents 100% predicted mean annual flow. Cells draining the persistent snow zone (≥75% mean annual snow persistence) were excluded from our model andgiven values of -1.

Watershed Attributes Folder contains raster data for the attributes used as inputs in the random forest models. These rasters cover the entire study area, and all except slope_local were processed as weighted flow accumulations based on the NHD med-res flow accumulation. This means each cell represents the average value for that attribute in the drainage area contributing to that cell. This folder includes:
-AI_summer: mean summer (June-Sept) aridity index
-area_km2: drainage area in square kilometers
-aws: mean available water storage
-burn_10: percent burn area (composite of burn areas in 10 years prior to 2020)
-HSG_C: percent hydrologic soil group C
-ksat: mean hydraulic conductivity
-LF_herb: percent herbaceous land cover
-ma_p_2001-2020: mean annual precipitation (period 2001-2020)
-ma_sp_2001-2020: mean annual snow persistence (period 2001-2020)
-metamorphic: percent metamorphic bedrock
-mmp_may: mean May precipitation
-mmsp_apr: mean April snow persistence
-mmsp_jan: mean January snow persistence
-p_summer: mean summer (June-Sept) precipitation
-pct_clay: percent clay in soils
-slope_drainage: mean slope for the drainage area
-slope_local: local slope for each pixel

sensor_st_pts is a zip file containing a shapefile of sensor and Stream Tracker site locations. The column 'site' corresponds to the site IDs, and type indicates whether the point is a sensor or Stream Tracker (st) location

本资源包含用于Peterson等人发表的《基于众包流量观测预测溪流水位》一文中使用的数据集。
sensor_daily.csv文件包含了传感器提供的水位数据，数据呈现如下：
- 水位：经过偏移调整和质量检查的传感器水位数据
- 标准化：水位除以传感器记录的最大水位
- 填充间隔：使用线性插值填充短时间间隔的标准化时间序列
每月积雪持久性文件夹包含了一月和四月的平均积雪持久性层。这些平均值来源于2016-2020年间的MODIS卫星数据。
streamtracker.csv文件包含了四月至十月的Stream Tracker流量存在/不存在数据。列代表Stream Tracker站点。空单元格表示无数据；0表示无流量或静水，1表示有流量。
attributes.csv文件包含了每个传感器和Stream Tracker站点的流域属性。列包括：
- 站点：传感器或Stream Tracker站点的ID
- 类型：观测类型 - 传感器或Stream Tracker（st）
- 海拔：海拔分组；对于持续积雪区的流域为高，其他所有流域为低
- Nobs：站点的观测次数；为绘图目的，传感器站点设置为100
- fracFlow：从观测中计算出的流量分数，(流量观测次数)/(总观测次数)
- ma_p：年平均降水量（毫米），PRISM
- mmp_may：五月平均降水量（毫米），PRISM
- p_summer：夏季（六月、七月、八月）平均降水量（毫米）
- mmsp_jan：一月平均积雪持久性（Hammond等人，2020年）
- mmsp_apr：四月平均积雪持久性（Hammond等人，2020年）
- AI_summer：夏季平均干旱指数（p_summer / PET_summer），其中PET是来自gridMET参考蒸散量的潜在蒸散量
- area_km2：排水面积（平方公里）
- slope_local：监测点的河流坡度（m/m）
- aws：可用水量存储（毫米），gSSURGO
- metamorphi：变质岩面积占比（Horton等人，2017年）
- ksat：饱和水力传导率（um/s），gSSURGO
- pct_clay：土壤中平均粘土百分比，gSSURGO
- HSG_C：水文土壤组C面积占比，gSSURGO
- LF_herb：草本植被面积占比，LANDFIRE
- burn_10：过去十年内野火边界内的面积占比，MTBS
predicted_flow_fraction是一个分辨率为30米的栅格TIFF文件，展示了我们在整个研究区域内最佳性能（≥10个样本）的随机森林模型流量分数预测。值从0到1连续变化，其中1代表100%预测的年平均流量。对于持续积雪区（≥75%年平均积雪持久性）的排水单元格被排除在我们的模型之外，并赋予-1的值。
流域属性文件夹包含了随机森林模型中作为输入使用的属性栅格数据。这些栅格数据覆盖了整个研究区域，除了slope_local以外的所有数据均根据NHD中分辨率流量累积进行加权流量累积处理。这意味着每个单元格代表对该单元格贡献的排水区域内该属性的平均值。此文件夹包括：
-AI_summer：夏季（六月-九月）平均干旱指数
-area_km2：排水面积（平方公里）
-aws：平均可用水量存储
-burn_10：过去十年内野火边界内的面积百分比
-HSG_C：水文土壤组C百分比
-ksat：平均水力传导率
-LF_herb：草本植被面积百分比
-ma_p_2001-2020：2001-2020年平均降水量
-ma_sp_2001-2020：2001-2020年平均积雪持久性
-metamorphic：变质岩百分比
-mmp_may：五月平均降水量
-mmsp_apr：四月平均积雪持久性
-mmsp_jan：一月平均积雪持久性
-p_summer：夏季（六月-九月）平均降水量
-pct_clay：土壤中粘土百分比
-slope_drainage：排水区域的平均坡度
-slope_local：每个像素的局部坡度
sensor_st_pts是一个包含传感器和Stream Tracker站点位置的shapefile的zip文件。'site'列对应站点ID，type列表示该点是否为传感器或Stream Tracker（st）位置。