Hydroclimate Research Group The Tian Lab @ Auburn University

Products

SELECTED OPEN SCIENCE PRODUCTS

XTPrecip multi-source learning for high-resolution precipitation estimation
Paper under review | Data and Code |

X-SRST framework for high-resolution assessment of climate impacts on river discharge
Paper under review | Data and Code |

DEMS emulator of LDAS for daily 30-m root-zone soil moisture estimates
Paper under review | Data and Code |

Data-driven understanding of subseasonal drought propagation over land
Paper under review | Data and Code |

SRDRN-QDM deep learning for downscaling climate and Earth system models (historical and future period)
Paper | Data and Code |

SRDRN deep learning for downscaling and bias correcting hourly precipitation and other climate data (observation period)
Paper | Data and Code |

ASRRN deep learning for downscaling remote sensing LST and other land surface retrievals
Paper | Data and Code |

RISE-UNET framework integrating deep learning-dynamic models for subseasonal soil moisture drought prediction
Paper | Data and Code |

Improved 30-m evapotranspiration estimates with diagnosis over CONUS eddy covariance sites
Paper | Data and Code |

Causal discovery framework for flash drought predictability
Paper | Data and Code |

Global compound climate extremes and exposure assessment
Paper | Data and Code |

CONUS Flash drought trends, variability, and drivers
Paper | Data and Code |