NASA Earth Exchange (NEX) Data Collection

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/nasanex-dataset")

fs.listdir("s3://nasanex/NEX-DCP30")

Description:

A collection of downscaled climate change projections, derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011]. The NASA Earth Exchange group maintains the NEX-DCP30 (CMIP5), NEX-GDDP (CMIP5), and LOCA (CMIP5).

Contact:

A collection of downscaled climate change projections, derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011]. The NASA Earth Exchange group maintains the NEX-DCP30 (CMIP5), NEX-GDDP (CMIP5), and LOCA (CMIP5).

Update Frequency:

Infrequently

Managed By:

NASA

Collabs:

• ASDI:
  • Tags: climate

Resources:

1. resource:

   • Description: Downscaled Climate Projections (NEX-DCP30)
   • ARN: arn:aws:s3:::nasanex/NEX-DCP30
   • Region: us-west-2
   • Type: S3 Bucket

2. resource:

   • Description: Global Daily Downscaled Projections (NEX-GDDP)
   • ARN: arn:aws:s3:::nasanex/NEX-GDDP
   • Region: us-west-2
   • Type: S3 Bucket

3. resource:

   • Description: Localized Constructed Analogs (LOCA)
   • ARN: arn:aws:s3:::nasanex/LOCA
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

aws-pds, CMIP5, natural resource, climate, sustainability

Tutorials:

1. tutorial:

   • Title: Accessing and plotting NASA-NEX data, from GEOSChem-on-cloud tutorial.
   • URL: https://cloud-gc.readthedocs.io/en/latest/chapter02_beginner-tutorial/use-s3.html#access-nasa-nex-data-in-s3-optional-but-recommended
   • AuthorName: Jiawei Zhuang
   • AuthorURL: https://github.com/JiaweiZhuang

2. tutorial:

   • Title: Sample Python code to analyze NASA-NEX data.
   • URL: https://cloud-gc.readthedocs.io/en/latest/chapter06_appendix/plot_NASANEX.html
   • AuthorName: Jiawei Zhuang
   • AuthorURL: https://github.com/JiaweiZhuang

Tools & Applications:

1. tools & applications:
   • Title: Azavea Climate API
   • URL: https://climate.azavea.com
   • AuthorName: Azavea
   • AuthorURL: https://www.azavea.com/

Publication:

1. publication:

   • Title: Downscaled Climate Projections Suitable for Resource Management, Eos Trans. AGU, 94(37), 321.
   • AuthorName: Thrasher, B., J. Xiong, W. Wang, F. Melton, A. Michaelis and R. Nemani (2013)
   • URL: https://doi.org/10.1002/2013EO370002

2. publication:

   • Title: Statistical downscaling using Localized Constructed Analogs (LOCA).
   • AuthorName: Pierce, D. W., D. R. Cayan, and B. L. Thrasher (2014)
   • URL: https://doi.org/10.1175/JHM-D-14-0082.1

3. publication:

   • Title: Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion
   • URL: https://www.kdd.org/kdd2020/accepted-papers/view/climate-downscaling-using-ynet-a-deep-convolutional-network-with-skip-conne
   • AuthorName: Yumin Liu, Auroop Ganguly, and Jennifer Dy

4. publication:

   • Title: Explainable deep learning for insights in El Nino and river flows
   • URL: https://arxiv.org/ftp/arxiv/papers/2201/2201.02596.pdf
   • AuthorName: Yumin Liu, Kate Duffy, Jennifer G. Dy, and Auroop R. Ganguly