README.md

In jsta/odem.data: Data preprocessing for ODEM

odem.data

Data processing for classifying regional DO consumption patterns through the Oxygen DEpletion Model (ODEM)

Installation

remotes::install_github("LimnoDataScience/odem.data")

Usage

# build odem input data and run model for a specific lake using R
lake_id <-  "nhdhr_34132539"
source("analysis/scripts/01_data_merge_sql.R")

# or build odem input data for a specific lake using the command line
make analysis/data/143249470_Mendota/input.txt

# build odem input data for all lakes using the command line
make all

# or run calibration of all possible lakes via terminal
Rscript analysis/scripts/run_lakes.R

Data

Input data

• temperature: pball_*_temperatures.csv

• meteorology: NLDAS_*.csv

• water quality data from LTER: wq_data_*.csv

• nml file : nhdhr_*.nml

Output data for odem

|variable | |:-----------------| |datetime | |thermocline_depth | |temperature_epi | |temperature_hypo | |temperature_total | |volume_total | |volume_epi | |volume_hypo | |area_thermocline | |area_surface | |upper_meta | |lower_meta | |year | |day_of_year | |max.d | |wind | |airtemp |

This R-package is still under development and functions are likely to change with future updates. odem.data is maintained by UW-Madison Center for Limnology. All data were obtained from online repositories, e.g. NTL-LTER and the USGS Water Quality Portal. This project is part of the Data Science Initiative at UW-Madison.

jsta/odem.data documentation built on Feb. 10, 2023, 3:56 a.m.