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Dataset . 2022
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Data sources: ZENODO
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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GRM: A Novel Stochastic Model for Real-time GNSS Tropospheric Delay Estimation

Authors: Zhilu Wu; Cuixian Lu;

GRM: A Novel Stochastic Model for Real-time GNSS Tropospheric Delay Estimation

Abstract

The dataset includes the proposed RWPN model (Cal_rwpn_new.m) and related files. The model is built based on ERA5 ZWD products from 2010 to 2019, which can be accessed at (ftp://ftp.gfz-potsdam.de/pub/home/GNSS/products/gfz-vmf1/). The proposed GRM model can contribute greatly by providing an efficient RWPN value to real-time GNSS ZTD estimation with an accuracy improvement of over 10% compared to fixed RWPN results. In addition, GRM also shows the superiorities of saving computation cost significantly since a large volume of the ERA5-derived RWPN values is modeled with only several parameters.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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