scholarly journals Correction to: Improvement of summer precipitation simulation by correcting biases of spring soil moisture in the seasonal frozen-thawing zone over the Northern Hemisphere

2021 ◽  
Author(s):  
Kechen Li ◽  
Feimin Zhang ◽  
Kai Yang ◽  
Jiali Shen ◽  
Chenghai Wang
2021 ◽  
Author(s):  
Kechen Li ◽  
Feimin Zhang ◽  
Kai Yang ◽  
Jiali Shen ◽  
Chenghai Wang

Abstract Soil moisture (SM) plays an important role in the climate system, and the effects of SM anomalies on climate can persist from month to season. The seasonal frozen-thawing zone (SFTZ) is accompanied by apparently inter-annual SM variability, and it is a key region of land–atmosphere interactions in the Northern Hemisphere (NH). In this study, by assimilating spring SM in the SFTZ through indirect soil nudging (ISN) in the Weather Research and Forecasting (WRF) model, the impacts of correcting spring SM biases in the SFTZ on the subsequent summer precipitation simulations in the NH were investigated. The results indicated that correcting spring SM biases in the SFTZ significantly improves the subsequent summer precipitation simulations in the NH. Correcting spring SM biases in the SFTZ significantly adjusts energy and moisture evolution on the land surface from spring to summer. Specifically, the correction of SM biases by assimilating SM in SFTZ in the spring can clearly reduce the biases of sensible heat flux (SH) and latent heat flux (LH) in the summer. This affects land–atmosphere interactions over NH, leading to correcting the negative biases of the geopotential height in the middle troposphere in June and July, as well as larger biases of water vapor transport and its divergence during the summer. Overall, it is evident that spring SM in the SFTZ can serve as an effective signal for predicting summer precipitation in the NH.


2019 ◽  
Vol 32 (4) ◽  
pp. 1081-1099 ◽  
Author(s):  
Hailan Wang ◽  
Siegfried D. Schubert ◽  
Randal D. Koster ◽  
Yehui Chang

Past modeling simulations, supported by observational composites, indicate that during boreal summer, dry soil moisture anomalies in very different locations within the U.S. continental interior tend to induce the same upper-tropospheric circulation pattern: a high anomaly forms over west-central North America and a low anomaly forms to the east. The present study investigates the causes of this apparent phase locking of the upper-level circulation response and extends the investigation to other land regions in the Northern Hemisphere. The phase locking over North America is found to be induced by zonal asymmetries in the local basic state originating from North American orography. Specifically, orography-induced zonal variations of air temperature, those in the lower troposphere in particular, and surface pressure play a dominant role in placing the soil moisture–forced negative Rossby wave source (dominated by upper-level divergence anomalies) over the eastern leeside of the Western Cordillera, which subsequently produces an upper-level high anomaly over west-central North America, with the downstream anomalous circulation responses phase locked by continuity. The zonal variations of the local climatological atmospheric circulation, manifested as a climatological high over central North America, help shape the spatial pattern of the upper-level circulation responses. Considering the rest of the Northern Hemisphere, the northern Middle East exhibits similar phase locking, also induced by local orography. The Middle Eastern phase locking, however, is not as pronounced as that over North America; North America is where soil moisture anomalies have the greatest impact on the upper-tropospheric circulation.


Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 728
Author(s):  
Xuejiao Wu ◽  
Yongping Shen ◽  
Wei Zhang ◽  
Yinping Long

With snow cover changing worldwide in several worrisome ways, it is imperative to determine both the variability in snow cover in greater detail and its relationship with ongoing climate change. Here, we used the satellite-based snow cover extent (SCE) dataset of National Oceanic and Atmospheric Administration (NOAA) to detect SCE variability and its linkages to climate over the 1967–2018 periods across the Northern Hemisphere (NH). Interannually, the time series of SCE across the NH reveal a substantial decline in both spring and summer (−0.54 and −0.71 million km2/decade, respectively), and this decreasing trend corresponded with rising spring and summer temperatures over high-latitude NH regions. Among the four seasons, the temperature rise over the NH was the highest in winter (0.39 °C/decade, p < 0.01). More precipitation in winter was closely related to an increase of winter SCE in mid-latitude areas of NH. Summer precipitation over the NH increased at a significant rate (1.1 mm/decade, p < 0.01), which likely contribute to the accelerated reduction of summer’s SCE across the NH. However, seasonal sensitivity of SCE to temperature changes differed between the Eurasian and North American continents. Thus, this study provides a better understanding of seasonal SCE variability and climatic changes that occurred at regional and hemispheric spatial scales in the past 52 years.


2018 ◽  
Author(s):  
Martha M. Vogel ◽  
Jakob Zscheischler ◽  
Sonia I. Seneviratne

Abstract. The frequency and intensity of climate extremes is expected to increase in many regions due to anthropogenic climate change. In Central Europe extreme temperatures are projected to change more strongly than global mean temperatures and soil moisture-temperature feedbacks significantly contribute to this regional amplification. Because of their strong societal, ecological and economic impacts, robust projections of temperature extremes are needed. Unfortunately, in current model projections, temperature extremes in Central Europe are prone to large uncertainties. In order to understand and potentially reduce uncertainties of extreme temperatures projections in Europe, we analyze global climate models from the CMIP5 ensemble for the business-as-usual high-emission scenario (RCP8.5). We find a divergent behavior in long-term projections of summer precipitation until the end of the 21st century, resulting in a trimodal distribution of precipitation (wet, dry and very dry). All model groups show distinct characteristics for summer latent heat flux, top soil moisture, and temperatures on the hottest day of the year (TXx), whereas for net radiation and large-scale circulation no clear trimodal behavior is detectable. This suggests that different land-atmosphere coupling strengths may be able to explain the uncertainties in temperature extremes. Constraining the full model ensemble with observed present-day correlations between summer precipitation and TXx excludes most of the very dry and dry models. In particular, the very dry models tend to overestimate the negative coupling between precipitation and TXx, resulting in a too strong warming. This is particularly relevant for global warming levels above 2 °C. The analysis allows for the first time to substantially reduce uncertainties in the projected changes of TXx in global climate models. Our results suggest that long-term temperature changes in TXx in Central Europe are about 20 % lower than projected by the multi-model median of the full ensemble. In addition, mean summer precipitation is found to be more likely to stay close to present-day levels. These results are highly relevant for improving estimates of regional climate-change impacts including heat stress, water supply and crop failure for Central Europe.


2014 ◽  
Vol 119 (12) ◽  
pp. 7292-7310 ◽  
Author(s):  
Xiang Su ◽  
Huiling Yuan ◽  
Yuejian Zhu ◽  
Yan Luo ◽  
Yuan Wang

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