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  • Wiley  (168)
  • Geography  (168)
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  • Wiley  (168)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  International Journal of Climatology Vol. 40, No. 4 ( 2020-03-30), p. 2497-2505
    In: International Journal of Climatology, Wiley, Vol. 40, No. 4 ( 2020-03-30), p. 2497-2505
    Abstract: Observational evidences have shown that the increased water vapour and accompanying enhancement of downward infrared radiation (IR) can explain the abrupt warming of surface air temperature (SAT) over the Barents–Kara Seas during boreal winter. This study investigates anomalous moisture transport associated with the abrupt change of SAT since the mid‐2000s over the Barents–Kara Seas, since moisture transport contributes to the anomalous water vapour and downward IR. Results show that anomalous stationary moisture flux induces anomalous moisture convergence over the Barents–Kara Seas region, whereas the anomalous transient flux opposes the anomalous moisture convergence there. Hence, the anomalous stationary moisture transport is suggested to be responsible to the increased water vapour over the Barents–Kara Seas region. Further decomposition of the stationary moisture flux indicates that the anomalous moisture convergence associated with the change in atmospheric mean flow plays an important role in the increased water vapour on both interannual and decadal time scales. In addition, decrease in the synoptic‐scale eddy activity observed over northern Siberia may contribute to generation of the anomalous atmospheric mean flow via eddy feedback processes.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 2
    In: Sedimentology, Wiley, Vol. 70, No. 1 ( 2023-01), p. 31-47
    Abstract: Coastal wetlands are key features of the Earth's surface and are characterized by a diverse array of coupled geomorphological and biological processes. However, the links between the distribution of biodiversity (for example, species and structural diversity) and the formation of coastal geomorphology are not well‐understood on a landscape scale most useful to coastal zone managers. This study describes the relationship between select geomorphological and biological mangrove community features (i.e. species composition and functional root type) in a landscape‐distributed coastal zone of Dongzhaigang Bay, north‐eastern Hainan Island, China. A total of 11 mangrove species and five functional aerial root types were encountered, with the location of species by root types being controlled by the elevation of the soil surface. Plank roots, prop roots and pneumatophores occupied the lowest intertidal elevations, while knee roots and fibrous roots of the mangrove fern, Acrostichum aureum , preferred the highest intertidal elevations. Surface sediment deposition in areas with mangroves was greater than deposition in non‐mangrove forest zones, establishing an important biological mechanism for this large‐area response because surface erosion/compaction was also more prominent within mangrove roots. Indeed, functional root type influenced the magnitude of deposition, erosion and compaction, with knee roots and pneumatophores being more effective in promoting deposition and preventing surface erosion/compaction than prop roots. These results indicate a potential role for vegetation type (especially functional root type) to influence coastal geomorphological processes at large landscape scales. While soil surface elevation is correlated to the distribution of mangrove species and functional root types, a significant feedback exists between elevation change and the capacity of those root types to influence coastal geomorphological differentiation within sustainable intertidal elevations. An enhanced understanding of geomorphological development, mangrove species distribution and functional root type may improve management to support nature‐based solutions that adjust more effectively to sea‐level rise through feedbacks.
    Type of Medium: Online Resource
    ISSN: 0037-0746 , 1365-3091
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2020955-1
    detail.hit.zdb_id: 206889-8
    SSG: 13
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2017
    In:  International Journal of Climatology Vol. 37, No. 13 ( 2017-11), p. 4656-4669
    In: International Journal of Climatology, Wiley, Vol. 37, No. 13 ( 2017-11), p. 4656-4669
    Abstract: The spatio‐temporal variability of precipitation extremes was investigated over the southeast coastal region of China, based on daily precipitation records from 73 meteorological stations for the period of 1960–2014. The standardized precipitation index ( SPI ), rotated empirical orthogonal function ( REOF ), and wavelet analysis methods were used to assess the characteristics of dryness/wetness patterns, as well as their correlations with the El Niño/Southern Oscillation ( ENSO ). Most of the extreme indices exhibited increasing trends at the regional scale over the past 55 years and generally had larger magnitudes than in other regions, with heavy precipitation that was more concentrated in time. The annual total wet day precipitation ( PRCPTOT ), total precipitation on very wet days (R95p), and total precipitation on extremely wet days (R99p) displayed sharp increases, with magnitudes of 22.60 ( P  = 0.33), 21.50 ( P  = 0.02) and 7.80 ( P  = 0.06) mm decade −1 , respectively. In contrast, the regional averaged maximum consecutive wet days ( CWD ) decreased by −0.10 days decade −1 ( P  = 0.48). The stations with sharp increases in extreme heavy precipitation were mainly located in the north and coastal areas. In addition, three dominant dryness/wetness patterns ( REOFs ) corresponding to different climatic partitions were identified. With regard to the time coefficients ( PCs ) of each REOF , no significant trend in PC1 was detected, while an increasing trend ( P   〈  0.001) in PC2 and decreasing trend ( P 〈 0.001) in PC3 were found. The evolution of dryness/wetness occurred over a 4‐ to 12‐year period in the first three REOFs , and their PCs all had significant positive correlations with ENSO at a 12‐month lag time. This study suggests that the risks of heavy precipitation and flooding are likely to increase in southeast China, particularly in the northern and coastal areas, and extreme events may be strengthened in the southern subtropical zone during certain seasons.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 4
    In: International Journal of Climatology, Wiley, Vol. 41, No. 2 ( 2021-02), p. 1465-1483
    Abstract: Extreme climatic events have become a global concern. Understanding changes in these events is essential to support efforts to reduce their impacts. We investigated the spatial and temporal variation of 15 temperature and 11 precipitation extremal indices based on daily observations from 1960 to 2016 at 794 meteorological stations in mainland China. The regionally averaged temperature index trends were consistent with global warming. An abrupt change in the trends for warmth‐related indices mainly occurred from 1990 to 2000, and the year with an abrupt change for cold‐related indices appeared earlier (mainly around 1990). The numbers of warm days, warm nights, summer days, and tropical nights increased significantly. In contrast, the numbers of cool days, cool nights, ice days, and frost days decreased significantly. The coldest night temperature had a strong and significant warming trend (0.4°C·decade −1 ), whereas the number of frost days showed the fastest decrease (2.6 days·decade −1 ). The warmth and extremal indices decreased significantly with increasing latitude, whereas warming trends increased significantly with increasing longitude, and the warmth indices and extremal daily indices decreased with increasing elevation. The number of consecutive wet days decreased fastest, at 0.09 days·decade −1 , and the daily intensity index increased fastest, at 0.09 mm·day −1 per decade. The extreme precipitation events decreased significantly with increasing latitude, but increased with increasing longitude. Large‐scale atmospheric circulation indices (the Arctic Oscillation and the Western Pacific Subtropical High Intensity and Area indices) and the Western Ridge Point strongly influenced the warm and cold extremes and contributed significantly to climate change in mainland China. The Western Ridge Point and Subtropical High Area were the dominant drivers of extreme temperature and precipitation events, respectively, in mainland China.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 5
    In: Sedimentology, Wiley, Vol. 59, No. 3 ( 2012-04), p. 809-829
    Type of Medium: Online Resource
    ISSN: 0037-0746
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2020955-1
    detail.hit.zdb_id: 206889-8
    SSG: 13
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  • 6
    In: International Journal of Climatology, Wiley, Vol. 39, No. 15 ( 2019-12), p. 5539-5555
    Abstract: Differences, arising from differences in gross primary production (GPP) model structures and driving forces, have fuelled arguments concerning interannual changes of GPP in China since 2000. To better investigate the interannual variability of GPP and its covariance with climate factors in China, this study adopted a multi‐model analysis based on three GPP models (i.e., Terrestrial Ecosystem Carbon flux model [TEC], Breathing Earth System Simulator model [BESS] , and MOD17 GPP model). The results show that annual GPP in China increased by 0.021–0.057 Pg C year −1 from 2000 to 2015 attributable to atmospheric‐CO 2 fertilization effects and favourable climate change, that is, increasing precipitation ( P r ) and temperature ( T a ). However, northern China and southern China had a large difference in the amplitude of these GPP changes; annual GPP increased by 0.017–0.039 Pg C year −1 in northern China but only 0.001–0.018 Pg C year −1 in southern China. Northern China and southern China occupy contrasting climate zones and this contrast produced different interannual variability of GPP through different mechanisms. Northern China has a dry climate with GPP changes sensitive to P r . As a result, more P r along with higher T a in northern China produced the strong uptrend of GPP from 2000 to 2015. In contrast, southern China has a wet climate with its GPP sensitive to solar radiation and T a . For the interval of 2000–2015, decreasing radiation plus drought exerted a negative influence on GPP in southern China. This study highlights the diverse mechanisms in which climate change affects GPP in dry and wet climate zones. A robust multi‐model analysis is preferred to reduce uncertainties arising from a single GPP model and its driving data.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 7
    In: International Journal of Climatology, Wiley, Vol. 42, No. 11 ( 2022-09), p. 6042-6054
    Abstract: Aerosol vertical distribution generally determines their health impacts and climate effects. By using long‐term (2007–2019) CALIPSO lidar measurements, we present a large‐scale insight into the climatology of aerosol types and their vertical structure over East Asia. Despite the low sampling frequency, comparison with MODIS aerosol optical depth (AOD) shows that the integrated CAIPSO vertical extinction can reasonably reproduce spatial patterns of the aerosol loading. With the unique advantage of active detection, CALIPSO reveals an obvious enhancement of the night‐time AOD due to worse diffusion conditions. Moreover, long‐range transport of different aerosols including dust, polluted dust, and smoke has substantial contribution to the aerosol loading over East Asia. Pure dust particles are mainly concentrated over the deserts with notable dust transport belts (dust AOD  〉  0.2 at 532 nm) along downwind regions during winter and spring. By contrast, polluted dust is prevalent over the downstream eastern China with much higher AODs throughout the year. In particular, AOD of polluted dust (~0.5) is higher in winter rather than in spring, which is consistent with their seasonal occurrences. Smoke aerosols usually appear in the night‐time over southern China. The top heights of aerosols are around 4–6 km, with dust and smoke having higher extinction at upstream regions. The climatology of these aerosol types and vertical distribution can provide a significant constraint for associated studies of air quality and climate effects.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 8
    In: Journal of Plant Nutrition and Soil Science, Wiley, Vol. 172, No. 4 ( 2009-08), p. 528-534
    Type of Medium: Online Resource
    ISSN: 1436-8730 , 1522-2624
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 1481142-X
    detail.hit.zdb_id: 1470765-2
    detail.hit.zdb_id: 200063-5
    SSG: 12
    SSG: 13
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  • 9
    Online Resource
    Online Resource
    Wiley ; 2019
    In:  International Journal of Climatology Vol. 39, No. 2 ( 2019-02), p. 1072-1091
    In: International Journal of Climatology, Wiley, Vol. 39, No. 2 ( 2019-02), p. 1072-1091
    Abstract: The “dry gets drier, wet gets wetter” (DGDWGW) paradigm well describes the pattern of precipitation changes over the oceans. However, it has also been usually considered as a simplified pattern of regional changes in wet/dry under global warming, although GCMs mostly do not agree this pattern over land. To examine the validity of this paradigm over land and evaluate how usage of drought indices estimated from different hydrological variables affects detection of regional wet/dry trends, we take the arid regions of central Asia as a case study area and estimate the drying and wetting trends during the period of 1950–2015 based on multiple drought indices. These indices include the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index (SPEI), the Palmer drought severity index (PDSI) and self‐calibrating PDSI (sc_PDSI) with both the Thornthwaite (th) and Penman–Monteith (pm) equations in PDSI calculation (namely, PDSI_th, PDSI_pm, sc_PDSI_th and sc_PDSI_pm). The results show that there is an overall agreement among the indices in terms of inter‐annual variation, especially for the PDSIs. All drought indices except SPI show a drying trend over the five states of central Asia (CAS5: including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan). The four PDSIs and SPEI reveal a wetting tendency over the northwestern China (NW; including Xinjiang Uygur Autonomous Region and Hexi Corridor). The contrasting trends between CAS5 and NW can also be revealed in soil moisture (SM) variations. The nonlinear wet and dry variations are dominated by the 3–7 years oscillations for the indices. Relationships between the six indices and climate variables show the major drought drivers have regional features: with mean temperature (TMP), precipitation total (PRE) and potential evapotranspiration (PET) for CAS5, and PRE and PET for NW. Finally, our analyses indicate that the dry and wet variations are strongly correlated with the El Niño/Southern Oscillation (ENSO).
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2019
    In:  International Journal of Climatology Vol. 39, No. 11 ( 2019-09), p. 4392-4412
    In: International Journal of Climatology, Wiley, Vol. 39, No. 11 ( 2019-09), p. 4392-4412
    Abstract: Drought occurs more frequently in the context of climate change and threatens water security worldwide. An appropriate fitting distribution is crucial for accurately identifying drought using drought indices. Here, seven two‐parameter distributions (Gamma, Gumbel, Logistic, Log–Logistic, Log‐normal, Normal, and Weibull) and four distributions (general logistic, generalized extreme value, Normal, and Pearson Type III) are applied to calculate the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI), respectively, to choose the most appropriate fit for the 541 stations in China. The results show that, in most cases, Gamma and general logistic were the best distributions for SPI and SPEI, respectively. Nevertheless, we noted that Pearson Type III and generalized extreme value also fit the SPEI series well, indicating the importance of distribution fitting assessment for various regions. The annual and seasonal drought evolutions across China were clarified, with drought decreasing significantly in western Northwest China (annually and each season), northern North China (spring and winter), the Tibetan Plateau (spring), and the lower reaches of the Yangtze River (winter) and increasing mainly in South China (spring) and western South China (summer and autumn). The intensity, duration and severity of light, moderate, and severe drought were also detected; the results suggest that drought in China is mainly concentrated around the changes in light and moderate drought. Additionally, we assessed the sensitivity of drought evolution to various meteorological variables. The most sensitive variable in South China, North China and the Tibetan Plateau is precipitation, followed by wind speed, temperature, relative humidity, and sunshine duration; in Northwest China, the order is wind speed, precipitation, temperature, relative humidity, and sunshine duration. Furthermore, the correlation results also indicate that the drought evolution is affected by the multivariate ENSO index, while the influencing characteristics are different in various seasons and regions. The results in this paper contribute to drought mitigation and the effective utilization of water resources in China.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Library Location Call Number Volume/Issue/Year Availability
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