The Total Carbon Column Observing Network's GGG2020 Data Version
Earth system science data(2024)
CALTECH | Environm & Climate Change Canada | Univ Bremen | Harvard Univ | Univ Toronto | Univ Wollongong | Finnish Meteorol Inst | Scripps Inst Oceanog | Natl Ctr Atmospher Res NCAR | NOAA | now at: Joint International Research Laboratory of Atmospheric and Earth System Sciences | NASA | Karlsruhe Inst Technol KIT | Laboratoire d'Études du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA-IPSL) | Univ Paris Saclay | Univ Colorado | Natl Inst Environm Studies NIES | Natl Inst Water & Atmospher Res Ltd NIWA | Climate & Atmosphere Res Ctr CARE C | Royal Belgian Inst Space Aeron | Japan Aerosp Explorat Agcy JAXA
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

被引用17
Influences of Uncertainties in the STT Flux on Modeled Tropospheric Methane
被引用0
被引用3
被引用5
First TanSat CO2 Retrieval over Land and Ocean Using Both Nadir and Glint Spectroscopy
被引用2
Validation of Remotely Sensed XCO2 Products with TCCON Observations in East Asia
被引用0
被引用0
被引用0
A Methane Monitoring Station Siting Method Based on WRF-STILT and Genetic Algorithm
被引用0
被引用1
An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data
被引用0
An Improved CH4 Profile Retrieving Method for Ground-Based Differential Absorption Lidar
被引用0
Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes
被引用0
被引用0
被引用0