Publication

Reproducibility dataset for CRYOWRF validation

Varun Sharma, Michael Lehning, Franziska Gerber
2022
Datasets

Abstract

This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., 2022).* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded from Sharma et a., 2021.* Static_input: Static topography input file of WRF (geo_em.d01). * WRF_27km_NoahMP: Preprocessed WRF output of the simulation run with the WRF using the surface parameterization Noah-MP to reproduce the figures and results in the paper.* WRF_27km_CRYOWRF: Preprocessed WRF output of the simulation run with CRYOWRF to reproduce the figures and results in the paper.* Scripts_Reproducibility: Python scripts to reproduce the figures and results in the paper.Note:* To run some of the scripts Atmospheric Weather station data needs to be prepared using Gerber and Lehning, 2022.* AWS data is not provided and needs to be downloaded from the corresponding databases. Please make sure to comply with the respective terms and conditions.

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https://infoscience.epfl.ch/entities/publication/8e028c77-5917-4c4b-86e5-35c691bbfd9c

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Varun Sharma, Michael Lehning, Franziska Gerber
2022
Datasets

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/8e028c77-5917-4c4b-86e5-35c691bbfd9c

About this result

Related concepts (20)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

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