added reference

README.md

@@ -15,3 +15,15 @@ This is the official dataset for `MeltwaterBench: Deep learning for spatiotempor
 This dataset sets up a benchmark for spatiotemporal downscaling. Downscaling is similar to superresolution across space and time. The task is to create high-resolution surface meltwater maps from low-resolution (LR) data streams. The LR data contains passive microwave (PMW), a regional climate model (MARv3.14), a temporal interpolation of the targets from dates excluding the target date (time_interpolate_sar), and a static digital elevation map (DEM).
 
 The generated 100m daily surface meltwater product can be found at `interim/runs/unet_smp/data_v1_4/deploy/`. You can download individual files by clicking the 'download' button. For downloading the full dataset and training models use `git clone git@hf.co:datasets/blutjens/meltwaterbench --branch main --single-branch` and see full instructions at `https://github.com/blutjens/meltwaterbench`
+
+### Reference
+If this data is useful for your analysis please consider citing:
+```
+@misc{lutjens25meltwaterbench,
+      title={MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater}, 
+      author={Bj\"orn L\"utjens and Patrick Alexander and Raf Antwerpen and Til Widmann and Guido Cervone and Marco Tedesco},
+      year={2025},
+      journal = {arXiv},
+}
+```
+