Further exploring and quantifying uncertainties for Extended Reconstructed Sea Surface Temperature (ERSST) version 4 (v4).

By Boyin Huang, P. Thorne, T. Smith, Wei David Liu, J. Lawrimore, V. Banzon, Huai-min Zhang, T. Peterson, M. Menne. 2016

170 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/58ec25cfec978db607ba1a5c86e3c10e69b79875

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. J. Hansen
2. Gavin A. Schmidt
3. M. Menne
4. R. Ruedy

In Global and Planetary Change

1. J. Hansen
2. R. Ruedy
3. Gavin A. Schmidt
4. Avraham Persin
5. Daniel Zyss
6. Nathan Lenssen
7. M. Menne
8. P. Domonkos

In Oceanography

1. J. Hansen

Citations in the corpus

• Ranking the strongest ENSO events while incorporating SST uncertainty (2016, unknown): “The perfect test SSTAs can be from model simulations or other available SST analyses as long as their spatial variability and temporal variability are realistic; thus, the σ ( t ) r is dependent on the spatial variability of the perfect SSTAs [ Huang et al ., 2016a].”
• Improvements in the GISTEMP Uncertainty Model (2019, methodology): “The largest ensemble simulation contains 1,000 members and was constructed to quantify the parametric uncertainty in their prediction (Huang et al., 2016).”