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@@ -23,19 +23,19 @@ WINDSET contains data for 6 tasks:
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  The input variables contain three dynamical variables concatenated along the vertical dimension: zonal and meridional winds and potential temperature, and the output variables comprise of the zonal and meridional components of the vertical momentum fluxes due to gravity waves.
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- - **Curated by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** MIT License
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- #### Generation of Natural Language-based Weather Forecast Reports Dataset
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  Input contains HRRR re-analysis dataset with corresponding NOAA Storm Prediction Center Reports on a daily basis for January 2017 (1 month).
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- - **Curated by:** NASA IMPACT
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- - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** MIT License
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  #### Long-term precipitation forecast
@@ -47,6 +47,30 @@ up to 28 days into the future.
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  - **Curated by:** [Simon Pfreundschuh](github.com/simonpf) (Colorado State University)
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  ### Dataset Sources [optional]
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@@ -79,85 +103,83 @@ Finally, baseline forecasts from the European Centre for Medium-Range Weather Fo
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  - Vitart et al.,The Sub-seasonal to Seasonal (S2S) Prediction Project Database. Bull. Amer. Meteor. Soc., 98(1), 163-176. doi: http://dx.doi.org/10.1175/BAMS-D-16-0017.1.
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- ## Uses
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  <!-- Address questions around how the dataset is intended to be used. -->
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- ### Direct Use
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  <!-- This section describes suitable use cases for the dataset. -->
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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- [More Information Needed]
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  ## Dataset Structure
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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- ### Curation Rationale
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  <!-- Motivation for the creation of this dataset. -->
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- [More Information Needed]
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- ### Source Data
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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- #### Data Collection and Processing
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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- [More Information Needed]
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-
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- #### Who are the source data producers?
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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- [More Information Needed]
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- ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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- #### Annotation process
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  <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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- [More Information Needed]
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- #### Who are the annotators?
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  <!-- This section describes the people or systems who created the annotations. -->
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- [More Information Needed]
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- #### Personal and Sensitive Information
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  [More Information Needed]
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- ### Recommendations
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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  ## Citation [optional]
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@@ -167,24 +189,26 @@ Users should be made aware of the risks, biases and limitations of the dataset.
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  [More Information Needed]
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- **APA:**
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-
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- [More Information Needed]
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- ## Glossary [optional]
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-
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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- [More Information Needed]
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- ## More Information [optional]
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-
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- [More Information Needed]
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-
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- ## Dataset Card Authors [optional]
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- [More Information Needed]
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-
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- ## Dataset Card Contact
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- [More Information Needed]
 
 
 
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  The input variables contain three dynamical variables concatenated along the vertical dimension: zonal and meridional winds and potential temperature, and the output variables comprise of the zonal and meridional components of the vertical momentum fluxes due to gravity waves.
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+ - **Curated by:** [Aman Gupta](github.com/amangupta2)
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+ <!--- **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]-->
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  - **License:** MIT License
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+ #### Generation of Natural Language-based Weather Forecast Reports
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  Input contains HRRR re-analysis dataset with corresponding NOAA Storm Prediction Center Reports on a daily basis for January 2017 (1 month).
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+ - **Curated by:** [NASA IMPACT](github.com/nasa-impact)
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+ <!--- **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]-->
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  - **License:** MIT License
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  #### Long-term precipitation forecast
 
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  - **Curated by:** [Simon Pfreundschuh](github.com/simonpf) (Colorado State University)
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+ #### Aviation Turbulence Detection
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+
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+ - **Curated by:** [NASA IMPACT](github.com/nasa-impact)
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+ <!--- **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]-->
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+ - **License:** MIT License
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+
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+ #### Hurricane Prediction and Intensity Estimation
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+
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+ - **Curated by:** [NASA IMPACT](github.com/nasa-impact)
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+ <!--- **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]-->
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+ - **License:** MIT License
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+ #### Weather Analog Search
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+ - **Curated by:** [NASA IMPACT](github.com/nasa-impact)
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+ <!--- **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]-->
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+ - **License:** MIT License
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+
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  ### Dataset Sources [optional]
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  - Vitart et al.,The Sub-seasonal to Seasonal (S2S) Prediction Project Database. Bull. Amer. Meteor. Soc., 98(1), 163-176. doi: http://dx.doi.org/10.1175/BAMS-D-16-0017.1.
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+ <!-- ## Uses -->
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  <!-- Address questions around how the dataset is intended to be used. -->
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+ <!-- ### Direct Use -->
111
 
112
  <!-- This section describes suitable use cases for the dataset. -->
113
 
114
+ <!-- ### Out-of-Scope Use -->
 
 
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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  ## Dataset Structure
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ Refer to individual directories for a corresponding downstream task.
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+
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+ | WINDSET
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+ - | aviation_turbulence
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+ - | nonlocal_parameterization
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+ - | weather_analogs
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+ - | hurricane
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+ - | precipitation_forecast
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+ - | weather_forecast_discussion
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+ - | long_term_precipitation_forecast
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  ## Dataset Creation
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+ <!-- ### Curation Rationale -->
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  <!-- Motivation for the creation of this dataset. -->
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+ <!-- [More Information Needed] -->
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+ <!-- ### Source Data -->
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  <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+ <!-- #### Data Collection and Processing -->
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+ <!-- #### Who are the source data producers? -->
 
 
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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+ <!-- ### Annotations [optional] -->
156
 
157
  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+ <!-- #### Annotation process -->
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  <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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+ <!-- #### Who are the annotators? -->
 
 
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  <!-- This section describes the people or systems who created the annotations. -->
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+ <!-- #### Personal and Sensitive Information -->
 
 
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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+ <!-- ## Bias, Risks, and Limitations (check inside folders) -->
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  [More Information Needed]
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+ <!-- ### Recommendations -->
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+ <!-- Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. -->
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  ## Citation [optional]
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  [More Information Needed]
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+ ## Dataset Card Authors
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+
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+ - Rajat Shinde,
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+ - Christopher E. Phillips,
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+ - Sujit Roy,
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+ - Ankur Kumar,
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+ - Aman Gupta,
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+ - Simon Pfreundschuh,
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+ - Sheyenne Kirkland,
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+ - Vishal Gaur,
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+ - Amy Lin,
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+ - Aditi Sheshadri,
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+ - Manil Maskey, and
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+ - Rahul Ramachandran
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+
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+ ## Dataset Card Contact
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+
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+ - Nonlocal paramterization of gravity wave momentum flux - [Aman Gupta](github.com/amangupta2)
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+ - Prediction of aviation turbulence - [Christopher E. Phillips](github.com/sodoesaburningbus)
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+ - Identifying weather analogs - [Christopher E. Phillips], Rajat Shinde
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+ - Generating natural language forecasts - [Rajat Shinde](github.com/omshinde), Sujit Roy
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+ - Long-term precipitation forecasting - [Simon Pfreundschuh](github.com/simonpf)
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+ - Hurricane track and intensity prediction - [Ankur Kumar](github.com/ankurk017)