added citation

README.md

@@ -53,8 +53,8 @@ Here are the descriptions of the 31 weather variables with their units:
 | Aerosol Optical Depth 55                                     | AOD_55           | 0 to 1             |
 | Reference evapotranspiration                                 | ET0              | mm/day             |
 | Reference evapotranspiration                                 | ET0              | mm/day             |
-| Vapor Pressure                                               | VAP              | Pa                 |
-| Vapor Pressure Deficit                                       | VAD              | Pa                 |
+| Vapor Pressure                                               | VAP              | kPa                 |
+| Vapor Pressure Deficit                                       | VAD              | kPa                 |
 
 ### Grid coordinates for the regions
 
@@ -229,14 +229,20 @@ The `raw` data is in the JSON format and unprocessed. The `csvs` and the `pytorc
 - Data was pivoted. So each measurement has x columns where x is either 365, 52, or 12.
 - `pytorch` data was standardized using the mean and std of the weather over the continental United States.
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
 
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
+```
+@misc{hasan2024weatherformerpretrainedencodermodel,
+      title={WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets}, 
+      author={Adib Hasan and Mardavij Roozbehani and Munther Dahleh},
+      year={2024},
+      eprint={2405.17455},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2405.17455}, 
+}
+```