the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: NASAaccess – A tool for access, reformatting, and visualization of remotely sensed earth observation and climate data
Ibrahim Nourein Mohammed
Elkin Giovanni Romero Bustamante
John Bolten
E. James Nelson
Abstract. NASA has launched a new initiative; the Open-Source Science Initiative (OSSI) to enable and support science towards openness. The OSSI initiative supports open-source software development and dissemination. In this work, we present NASAaccess which is an open-source software package and web-based environmental modeling application for earth observation data accessing, reformatting, and presenting quantitative data products. The main objective of developing the NASAaccess platform is to facilitate exploration, modeling, and understanding of earth data for scientists, stakeholders, and concerned citizens whose objectives align with the new OSSI goals. The NASAaccess platform is available as software packages (i.e., R and conda packages) as well as an interactive format web-based environmental modeling application for earth observation data developed with the Tethys Platform. The NASAaccess has been envisioned to lower the technical barriers and simplify the process of accessing scalable distributed computing resources and leverage additional software for data and computationally intensive modeling frameworks. Specifically, NASAaccess is developed to meet the need for seamless earth observation remote sensing and climate data ingestion into various hydrological modeling frameworks. Moreover, NASAaccess is also contributing to keep interested parties and stakeholders engaged with environmental modeling, accessing the information available in various remote sensing products. NASAaccess current capabilities covers various NASA datasets and products that include the Global Precipitation Measurement (GPM) data products, the Global Land Data Assimilation System (GLDAS) land surface states and fluxes, and the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) Coupled Model Intercomparison Project Phase 5 (CMIP5) & Coupled Model Intercomparison Project Phase 6 (CMIP6) climate change dataset products.
Ibrahim Nourein Mohammed et al.
Status: open (until 24 Apr 2023)
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RC1: 'Comment on egusphere-2023-328', Anonymous Referee #1, 27 Mar 2023
reply
The authors developed an open-source package to ease the access, reformat, and visualization of remote sensing earth observation data from NASA, to facilitate data dissemination, assist hydrological modeling, and support decision making. The package currently supports multiple NASA climate datasets, and the reformatted data could be seamlessly ingested into several mainstream hydrological models. The manuscript has clearly described the functionalities and methodology of the package, and given detailed instructions on installation requirements and steps, as well as how to use it with a case study. All the technical instructions are easy to follow. Also, the package has already been demonstrated in two published articles. Below are comments that suggest the authors to address.
1. What are the benefits of NASAaccess comparing with existing tools listed in Table 1? In Table 1, it would help if you could list more information of existing tools to illustrate the necessity and benefits of NASAaccess, such as open source or not, supported datasets, programming language, operation system, and other pros and cons related to the purpose of this work.2. For some abbreviations, please only give full name when one item is first time mentioned in the manuscript, for examples, NASA on Page 3 and 16, GeoGloWS on Page 17, GLDAS on Page 15, GES on Page 28, 29, and 30, DISC on Page 28, 29, and 30, CMIP on Page 18, 24, and 26 (twice), OSSI on Page 16, SWAT on Page 6, etc.
3. In Section 3.1, these three functions in NASAaccess are mentioned here for the first time. Please explain them here for readers to better understand or give a note to inform readers to find “further explanation in XXXX of the Appendix”?
4. In Section 3.1, please give full name and explain the “data of IMERG”. It would be better to give the website of IMERG data https://gpm.nasa.gov/data/imerg
5. Where can readers find the shapefile and DEM for the case study?
6. Is there any limitation on how long the data could be retrieved? For years of data, how long it would take with different functions?
Citation: https://doi.org/10.5194/egusphere-2023-328-RC1
Ibrahim Nourein Mohammed et al.
Data sets
NASAaccess Home Ibrahim Mohammed https://doi.org/10.17605/OSF.IO/CTJ2K
Model code and software
NASAaccess Ibrahim Mohammed https://github.com/nasa/NASAaccess
r-nasaaccess Ibrahim Mohammed https://anaconda.org/conda-forge/r-nasaaccess
NASAaccess - Tethys Ibrahim Mohammed, Elkin Giovanni Romero Bustamante, Spencer McDonald https://github.com/imohamme/tethys_nasaaccess
Ibrahim Nourein Mohammed et al.
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