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Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

Source: Journal of Climate:;2023:;volume( 036 ):;issue: 009

Author(s): Abdelmoaty, Hebatallah Mohamed; Papalexiou, Simon Michael

Publisher: American Meteorological Society

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The Use of Serially Complete Station Data to Improve the Temporal Continuity of Gridded Precipitation and Temperature Estimates

Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 006:;page 1553

Author(s): Tang, Guoqiang;Clark, Martyn P.;Papalexiou, Simon Michael

Publisher: American Meteorological Society

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Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

Source: Journal of Climate:;2023:;volume( 036 ):;issue: 009:;page 2999

Author(s): Abdelmoaty, Hebatallah Mohamed; Papalexiou, Simon Michael

Publisher: American Meteorological Society

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SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019

Source: Journal of Climate:;2021:;volume( 034 ):;issue: 016:;page 6493

Author(s): Tang, Guoqiang;Clark, Martyn P.;Papalexiou, Simon Michael

Publisher: American Meteorological Society

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The Perils of Regridding: Examples Using a Global Precipitation Dataset

Source: Journal of Applied Meteorology and Climatology:;2021:;volume( 060 ):;issue: 011:;page 1561

Author(s): Rajulapati, Chandra Rupa;Papalexiou, Simon Michael;Clark, Martyn P.;Pomeroy, John W.

Publisher: American Meteorological Society

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Assessment of Extremes in Global Precipitation Products: How Reliable Are They?

Source: Journal of Hydrometeorology:;2020:;volume( 021 ):;issue: 012:;page 2855

Author(s): Rajulapati, Chandra Rupa;Papalexiou, Simon Michael;Clark, Martyn P.;Razavi, Saman;Tang, Guoqiang;Pomeroy, John W.

Publisher: American Meteorological Society

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Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

The Use of Serially Complete Station Data to Improve the Temporal Continuity of Gridded Precipitation and Temperature Estimates

Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019

The Perils of Regridding: Examples Using a Global Precipitation Dataset

Assessment of Extremes in Global Precipitation Products: How Reliable Are They?

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Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

The Use of Serially Complete Station Data to Improve the Temporal Continuity of Gridded Precipitation and Temperature Estimates

Changes of Extreme Precipitation in CMIP6 Projections: Should We Use Stationary or Nonstationary Models?

SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019

The Perils of Regridding: Examples Using a Global Precipitation Dataset

Assessment of Extremes in Global Precipitation Products: How Reliable Are They?