This data release contains code for computing the filtering properties of cyclical infiltration in a layered vadose zone in Central Valley, California. The code for computing the filtering is described in a manuscript that is under review at Vadose Zone Journal. The updated data contained in this data release are the code to compute the filtering properties of the vadose zone. This code was developed in 2018. The code uses existing data as inputs. The inputs are from a groundwater flow model for Central Valley, California, described by Faunt et al. (2009), and from a soil texture model described by Faunt et al. (2010). The inputs from Faunt et al. (2009) and Faunt et al. (2010) were released in those years and are available for download from https://ca.water.usgs.gov/projects/central-valley/central-valley-hydrologic-model.html

Matlab code to simulate equilibrium geometry of selected cross-sections on the Lower American and Sacramento Rivers in California.

Measurements of Hardness (as CaCO3) collected at Putah Creek Below Monticello Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Measurements of Turbidity collected at Putah Creek Below Monticello Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Measurements of Molybdenum collected at Putah Creek Below Monticello Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

This file describes where to find the dataset used for this paper (PurpleAir and AQS) and the data fields used in the analysis. Contact the corresponding author for access to the code used to generate the dataset. This dataset is associated with the following publication: deSouza, P., K. Barkjohn, A. Clements, J. Lee, R. Kahn, and B. Crawford. An analysis of degradation in low-cost particulate matter sensors. Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge, UK, NA, (2023).

A three-dimensional groundwater flow model of the Central Valley in California was developed to aid water managers in understanding how water moves through the aquifer system, to predict water-supply scenarios, and to address issues related to subsidence. The USGS California Water Science Center made a detailed assessment of groundwater availability of the Central Valley aquifer system, which includes: (1) the status of groundwater resources; (2) how these resources have changed over time, particularly related to subsidence; and (3) tools to assess system responses to stresses from future human uses and climate variability and change. This effort builds on previous investigations, such as the USGS Central Valley Regional Aquifer System and Analysis (CV-RASA) project and Groundwater Resources Program and several other groundwater studies in the Valley completed by Federal, State and local agencies at differing scales. The principal product of this new assessment is a tool referred to as the Central Valley Hydrologic Model version 2 (CVHM2) that accounts for integrated, variable water supply and demand, and simulates surface-water and groundwater-flow and subsidence across the entire Central Valley system. The current model was extended to incorporate a slightly larger geographic area, includes more water level and subsidence observations, uses a more-detailed depiction of subsurface geology, includes managed aquifer recharge and flux from small watersheds, and utilizes a more detailed simulation of subsidence processes. In addition, the model utilizes a specialized version of MODFLOW called the MODFLOW-One-Water Hydrologic Flow Model (MODFLOW-OWHM) to simulate groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley monthly for April 1961 through September 2019. This USGS data release contains all of the input and output files for the simulation and calibration of the CVHM2 described in the associated model documentation report (https://doi.org/10.3390/w16081189).

This digital dataset contains the municipal pumping dataset used to develop the Multi Node Well (MNW2) Package in the updated Central Valley Hydrologic Model (CVHM2). It includes well locations, well properties, and pumping rates for Municipal Pumping.

Measurements of Alkalinity collected at Putah Creek Below Monticello Dam. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

The updated Central Valley Hydrologic Model (CVHM2) is similar to the original Central Valley Hydrologic Model (CVHM) in terms of the basic units of model discretization. Both versions simulated monthly stress periods on the same one square mile cell spatial discretization. Although the simulation period for CVHM1 was water years 1962-2003, the CVHM2 simulation period is water years 1962-2019. Both CVHM and CVHM2 have a 6 month spin up period from April-September of 1961. The CVHM2 is now composed of 13 layers compared to the ten in the CVHM. As in CVHM, hydraulic properties are generally based on percentage of coarse-grained deposits and these values are adjusted based on depth, spatial location (geomorphic province), and geologic units as described by Faunt and others (2009).