Data and Workflow for New Proglacial Meteorology and River Stage Observations from Inglefield Land and Thule, NW Greenland

Workflow for data cleaning and data analysis used in New Proglacial Meteorology and River Stage Observations from Inglefield Land and Thule, NW Greenland Sarah E. Esenther, Laurence C. Smith, Adam LeWinter, Lincoln H Pitcher, Brandon T. Overstreet, Aaron Kehl, Cuyler Onclin, Seth Goldstein, Jonathan...

Full description

Bibliographic Details
Main Authors: Esenther, Sarah, Smith, Laurence C., LeWinter, Adam, Pitcher, Lincoln H, Overstreet, Brandon T., Aaron Kehl, Onclin, Cuyler, Goldstein, Seth, Ryan, Jonathan C.
Format: Other/Unknown Material
Language:English
Published: 2023
Subjects:
Online Access:https://zenodo.org/record/8246936
https://doi.org/10.5281/zenodo.8246936
Description
Summary:Workflow for data cleaning and data analysis used in New Proglacial Meteorology and River Stage Observations from Inglefield Land and Thule, NW Greenland Sarah E. Esenther, Laurence C. Smith, Adam LeWinter, Lincoln H Pitcher, Brandon T. Overstreet, Aaron Kehl, Cuyler Onclin, Seth Goldstein, Jonathan C. Ryan This file consists of the code for the data cleaning and data analysis and all datasets used. The data folder contains hydrometeorological datasets from the Minturn River meteorological station, single beam lidar devices, time lapse camera, pressure transducer; from the North River single beam lidar unit, Levelogger pressure transducer (PT), and transmitting PT; from the Fox Canyon River single beam lidar unit; and remotely sensed MODIS and NASA GIOVANNI datasets. A complete description of the method can be found in Esenther, et al. (2023). Anyone wishing to use this data/codes can cite Esenther et al. (2023). Please contact Sarah Esenther at sarah_esenther@brown.edu for any queries. Code files are: hydrometereorological_cluster.m: Correction of sun interference offsets in lidar records of three rivers, generation of hybrid stage product from the CF Bubbler and single beam lidar, early melt season ANOVA analysis, and figure generation. Complete description of anomaly offset correction process is included in the Supplemental Material for Esenther et al., 2023. ing_daily_statistical_analysis.py: Statistical analysis of hydrometerological drivers (including precipitation and air temperature) of stage for the Inglefield watershed. Produces pair plots of each variable (X and Y) against hybrid stage (generated in hydrometereorological_cluster.m), selects significant independent drivers (using Bonferroni-corrected significance threshold), and builds multivariate linear regression model from significant independent variables to assess relationship with stage. The data folder contains following datasets in csv format. daily_rs.csv: Remotely sensed precipitation (precip) (mm) and albedo (A)/snow cover (SC)(%) over the ...