Qiong He

Nanjing University of Information Science and Technology

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Bin Wang

University of Hawaiʻi at Mānoa

Eric S. Blake

National Oceanic and Atmospheric Administration

Francis Bringas

National Oceanic and Atmospheric Administration

Matthew Rosencrans

NOAA National Centers for Environmental Prediction

Stanley B. Goldenberg

NOAA Atlantic Oceanographic and Meteorological Laboratories

Michelle L’Heureux

National Oceanic and Atmospheric Administration

Richard J. Pasch

National Oceanic and Atmospheric Administration

Alexandre Bernardes Pezza

Wellington City Council

Andrew D. Magee

University of Newcastle Australia

Zhiyan Zuo

Fudan University

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National Oceanic and Atmospheric Administration

University of Colorado Boulder

Cooperative Institute for Research in Environmental Sciences

Goddard Space Flight Center

NOAA National Environmental Satellite Data and Information Service

NOAA National Centers for Environmental Information

NOAA National Centers for Environmental Prediction

University of East Anglia

NOAA Climate Prediction Center

National Centre for Atmospheric Science

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Influence of Eurasian spring snowmelt on surface air temperature in late spring and early summer

Journal of Climate (2021)

Juan Zhou Zhiyan Zuo Qiong He

Abstract The effect of Eurasian spring snowmelt on surface air temperature (SAT) in late spring (April–May) and early summer (June–July) and the relevant physical mechanisms during 1981–2016 are investigated. Results show that the first mode of the inter-annual Eurasian spring snowmelt represents an east–west dipole anomaly pattern, with an intense center over Siberia and another moderate center around eastern Europe. The European spring snowmelt shows an insignificant relation to the local SAT, whereas the Siberian spring snowmelt has a significant impact on the SAT in late spring and early summer. More Siberian spring snowmelt contributes to higher SAT in late spring and lower SAT in early summer via different mechanisms. In late spring, increased Siberian spring snowmelt corresponds to less local surface albedo and cloud cover, leading to the surface absorbing more shortwave radiation and thereby higher SAT. The sub-surface and deep soil moisture anomalies generated from Siberian spring snowmelt can persist into early summer. Excessive Siberian spring snowmelt corresponds to positive soil moisture anomalies, contributing to decreased sensible heat and increased cloud cover in early summer. Increased cloud cover leads to the surface receiving less shortwave radiation. Thus, lower SAT appears over Siberia in early summer due to reduced sensible heat and shortwave radiation. However, the simulation of Eurasian spring snowmelt variability and its influences on SAT via the snow hydrological effect is still a challenge for the climate models that participated in the Coupled Model Intercomparison Project phase 6.

Snowmelt

Shortwave radiation

Albedo (alchemy)

Meltwater

10.1175/jcli-d-21-0111.1

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Citations (8)

Seasonal prediction and predictability of Eurasian spring snow water equivalent in NCEP Climate Forecast System version 2 reforecasts

Climate Dynamics (2017)

Qiong He Zhiyan Zuo Renhe Zhang Ruonan Zhang

Predictability

Climate Forecast System

Snowmelt

Lead (geology)

10.1007/s00382-017-3611-3

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Citations (9)

Land surface air temperature variations over Eurasia and possible causes in the past century

International Journal of Climatology (2017)

Zhiyan Zuo Song Yang Kang Xu Renhe Zhang Qiong He

ABSTRACT In this study, the variations of annual land surface air temperature (SAT) over Eurasia and the northern part of Africa (0°–180°E, 0°–90°N) were investigated using monthly SAT data from the Climatic Research Unit, University of East Anglia for 1901–2014 and the simulations from the Geophysical Fluid Dynamics Laboratory coupled model. The observed results suggested that the SAT variations exhibited robust non‐uniform spatial features at multi‐time scales. For the variations in inter‐annual to decadal time scales (IDV), the intensity generally increased from south to north, with the strongest intensity being around Siberia and four times that of the weakest intensity found around China. The IDV leading pattern showed a north–south dipole across 40°N. The simulated results suggested that the north–south dipole and the northwards increase of the IDV were due to internal interactions within the complex nonlinear climate system, but the natural and greenhouse gas forcings could intensify the IDV. The warming trend of the SAT was generally homogeneous, but it showed distinctive multi‐decadal fluctuations in different regions. The linear secular trends and robust multi‐decadal variation around Siberia and China corresponded to the considerable acceleration and deceleration in the warming over the two regions, respectively. The warming around Siberia was mainly caused by greenhouse gases but its modulation due to natural forcing was also considerable because of the robust multi‐decadal variations. Around China, the multi‐decadal variation, contributed by the natural forcing, can explain more than half the variances in the warming. The warming trend around central Asia was intense and parabolic, and the multi‐decadal variation over there was weak and showed few modulating effects.

Forcing (mathematics)

Surface air temperature

10.1002/joc.5306

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Citations (11)

The Tropics

Bulletin of the American Meteorological Society (2023)

Howard J. Diamond Carl J. Schreck Adam Allgood Emily Becker Eric S. Blake

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). Corresponding author: Howard J. Diamond / howard.diamond@noaa.gov

10.1175/bams-d-23-0078.1

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Citations (2)

Role of the warming trend in global land surface air temperature variations

Science China Earth Sciences (2021)

Zhiyan Zuo Dong Xiao Qiong He

Surface air temperature

10.1007/s11430-020-9775-8

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Citations (5)

Variable and robust East Asian monsoon rainfall response to El Niño over the past 60 years (1957–2016)

Advances in Atmospheric Sciences (2017)

Bin Wang Juan Li Qiong He

Anticyclone

Teleconnection

Subtropical ridge

10.1007/s00376-017-7016-3

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Citations (125)

Prediction skill and predictability of Eurasian snow cover fraction in the NCEP Climate Forecast System version 2 reforecasts

International Journal of Climatology (2016)

Qiong He Zhiyan Zuo Renhe Zhang Song Yang Wanqiu Wang

ABSTRACT Eurasian snow cover fraction ( SCF ) prediction is analyzed using the recently developed National Centers for Environmental Prediction ( NCEP ) Climate Forecast System version 2 ( CFSv2 ) monthly retrospective forecasts for 1983–2009. The CFSv2 is generally capable of reproducing the observed Eurasian SCF seasonal cycle and climatology. This study focuses on the prediction skill and predictability of Eurasian SCF in snowmelt and snowfall seasons because the intensive variability occurs in the two seasons. The CFSv2 reasonably predicts the interannual variations, long‐term trend and leading pattern in snowmelt season several months ahead. In comparison with the snowmelt season, the CFSv2 shows a better prediction skill in climatological values but a worse skill in the interannual variability in snowfall season. In addition, the forecasted downward trend of SCF in the snowfall season is opposite to that in the observation. The biases of Eurasian SCF in the snowmelt and snowfall seasons are significantly related with those of temperature and precipitation in the CFSv2 . The forecasted cooler and wetter atmosphere is suggestive of the overestimation of the mean SCF . Meanwhile, the underestimation in the variability of both temperature and precipitation in the CFSv2 may be the important factor for the underestimated variability of SCF , especially for the damped variability of SCF in the snowfall season. Generally, the CFSv2 shows a higher and more stable prediction skill after late‐1990s than before in the two seasons. The change in the initial condition in the CFSv2 and the observed SCF in late‐1990s might be the plausible reason for it.

Climate Forecast System

Predictability

Snowmelt

10.1002/joc.4618

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Citations (11)

The Tropics

Bulletin of the American Meteorological Society (2020)

Stephen Baxter Gerald D. Bell Eric S. Blake Francis Bringas Suzana J. Camargo

Catastrophic Hurricane Dorian slowed to a crawl over Grand Bahama Island overnight and into Labor Day.On Monday, September 2, 2019, GOES East captured a view of the Category 5 storm over Grand Bahama.This GeoColor-enhanced imagery was created by NOAA's partners at the Cooperative Institute for Research in the Atmosphere.The GOES East geostationary satellite, also known as GOES-16, provides coverage of the Western Hemisphere, including the United States, the Atlantic Ocean

10.1175/bams-d-20-0077.1

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Citations (4)

NUIST ESM v3 Data Submission to CMIP6

Advances in Atmospheric Sciences (2021)

Jian Cao Libin Ma Fei Liu Jing Chai Haikun Zhao

Abstract This paper introduces the experimental designs and outputs of the Diagnostic, Evaluation and Characterization of Klima (DECK), historical, Scenario Model Intercomparison Project (MIP), and Paleoclimate MIP (PMIP) experiments from the Nanjing University of Information Science and Technology Earth System Model version 3 (NESM3). Results show that NESM3 reasonably simulates the modern climate and the major internal modes of climate variability. In the Scenario MIP experiment, changes in the projected surface air temperature (SAT) show robust “Northern Hemisphere (NH) warmer than Southern Hemisphere (SH)” and “land warmer than ocean” patterns, as well as an El Niño-like warming over the tropical Pacific. Changes in the projected precipitation exhibit “NH wetter than SH” and “eastern hemisphere gets wetter and western hemisphere gets drier” patterns over the tropics. These precipitation patterns are driven by circulation changes owing to the inhomogeneous warming patterns. Two PMIP experiments show enlarged seasonal cycles of SAT and precipitation over the NH due to the seasonal redistribution of solar radiation. Changes in the climatological mean SAT, precipitation, and ENSO amplitudes are consistent with the results from PMIP4 models. The NESM3 outputs are available on the Earth System Grid Federation nodes for data users.

10.1007/s00376-020-0173-9

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Citations (13)

The Tropics

Bulletin of the American Meteorological Society (2022)

Howard J. Diamond Carl J. Schreck Adam Allgood Emily Becker Eric S. Blake

10.1175/bams-d-22-0069.1

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Citations (3)