Dynamical Adjustment of the Northern Hemisphere Surface Air Temperature Field: Methodology and Application to Observations*

By B. V. Smoliak, J. Wallace, P. Lin, Q. Fu. 2015

100 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/bf7159bf56b45d19de9608858ebe42cc6979b899

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. L. Brunner
2. Flavio Lehner
3. Reto Knutti
4. Erich Fischer
5. Ed Hawkins
6. Jochem Marotzke
7. C. Deser
8. Nicola Maher

In Global and Planetary Change

1. L. Brunner
2. Flavio Lehner
3. Reto Knutti
4. Erich Fischer
5. Ed Hawkins
6. Jochem Marotzke
7. C. Deser
8. Nicola Maher

In Oceanography

1. C. Deser
2. Jochem Marotzke
3. Reto Knutti
4. Erich Fischer

Citations in the corpus

• Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 (2020, methodology): “Alternatively, techniques to quantify and remove unforced variability from single simulations, such as dynamical adjustment or signal-to-noise maximization can be used (Allen and Tett, 1999; Deser et al., 2016; Hasselmann, 1979; Sippel et al., 2019; Smoliak et al., 2015; Wallace et al., 2012) and sh”