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  • 1
    Online Resource
    Online Resource
    Wiley ; 2019
    In:  International Journal of Climatology Vol. 39, No. 3 ( 2019-03-15), p. 1166-1180
    In: International Journal of Climatology, Wiley, Vol. 39, No. 3 ( 2019-03-15), p. 1166-1180
    Abstract: We investigate the impact of the diabatic heating (Q1) over the Indian subcontinent and Tibetan Plateau (TP) sensible heat on the heat waves in South Korea in July and August over a recent 42‐year period. In particular, we emphasize the role of the convective activity across the region from northeastern Pakistan to northwestern India (PWI) induced by the heat from the TP, especially over the western and eastern TP. A composite analysis indicates that the composite differences between the heat‐wave summers (HWS) and non‐heat‐wave summers (NHWS) resemble the circum‐global teleconnection (CGT) pattern, which generates a high‐pressure anomaly over the Korean Peninsula, producing favourable conditions for heat waves in South Korea. The first coupled mode of the geopotential height at 250 hPa with the daily maximum temperature (TM) for July and August in South Korea is consistent with the composite pattern, suggesting that the diabatic heating over the Indian subcontinent induces a high‐pressure anomaly over the Korean Peninsula through a CGT‐like mechanism. The regression analysis of the wind vectors in the upper troposphere also indicates that the diabatic heating over the PWI region and associated TP sensible heating generates the strong convection over the PWI region, which corresponds to the anomalous anticyclonic circulation at 250 hPa over the western TP and the cyclonic circulation at 850 hPa over the PWI region. Moreover, the correlation patterns of the 250‐hPa geopotential height with the normalized rainfall amount index (IMRI) over the PWI region and the wave activity flux pattern confirm that the strong convective activity over the PWI region contributes to the anomalous high pressure and heat waves over the Korean Peninsula.
    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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  • 2
    Online Resource
    Online Resource
    Wiley ; 2021
    In:  International Journal of Climatology Vol. 41, No. 6 ( 2021-05), p. 3640-3656
    In: International Journal of Climatology, Wiley, Vol. 41, No. 6 ( 2021-05), p. 3640-3656
    Abstract: Using Generalized Extreme Value analysis, this study details the independent seasonal impacts of the El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on rainfall extremes that cause many hydro‐meteorological hazards and affect vulnerable populations in Indonesia, based on indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), for the period 1981–2019. Gridded Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is used to calculate maximum consecutive 5‐day precipitation (Rx5d), total precipitation from days above 95 percentile (R95p), and maximum number of consecutive dry days (CDD). Consistent with previous studies, the ENSO and IOD impacts on rainfall extremes are shown to be strongest during the dry seasons (JJA‐SON) and weaker in the wet seasons (DJF‐MAM). Rainfall extremes appear to be widely influenced throughout Indonesia by ENSO, whereby extremes become drier (wetter) during El Niño (La Niña). Similarly, positive (negative) phases of the IOD lead to more extreme dry (wet) conditions. However, distinct from previous studies, as ENSO and IOD often co‐occur, we also provide independent influences of the two climate modes. Low‐level circulation northeast and southwest of Indonesia, both previously suggested as main drivers of impacts on Maritime Continent rainfall, are more closely associated with independent ENSO and IOD, respectively. For example, ENSO, independent of IOD, impacts rainfall extremes more in the northern and eastern regions of Indonesia, and the IOD, independent of ENSO, modulates rainfall extremes more over southern and western regions. Despite independent ENSO and IOD impacts understandably being found more eastward and westward of the country, respectively, details provided here help explain regional differences between rainfall extremes and ENSO and IOD, such as Jakarta in west Java, which is predominantly influenced by local forcing associated with the IOD.
    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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  • 3
    Online Resource
    Online Resource
    Wiley ; 2003
    In:  International Journal of Climatology Vol. 23, No. 2 ( 2003-02), p. 223-233
    In: International Journal of Climatology, Wiley, Vol. 23, No. 2 ( 2003-02), p. 223-233
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2003
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 4
    In: International Journal of Climatology, Wiley, Vol. 41, No. S1 ( 2021-01)
    Abstract: Rice production in the Korean Peninsula (KP) in the near future (2021–2050) is analysed in terms of the climatic yield potential (CYP) index for Japonica‐type rice. Data obtained from the dynamically downscaled daily temperature and sunshine duration for the Historical period (1981–2010) and near future under two Representative Concentration Pathway (RCP4.5 and RCP8.5) scenarios are utilized. To reduce uncertainties that might be induced by using a Coupled General Circulation Model (CGCM)—a Regional Climate Model (RCM) chain in dynamical downscaling, two CGCM—three RCM chains are used to estimate the CYP index. The results show that the mean rice production decreases, mainly due to the increase of the temperature during the grain‐filling period (40 days after the heading date). According to multi model ensemble, the optimum heading date in the near future will be approximately 12 days later and the maximum CYP will be even higher than in the Historical. This implies that the rice production is projected to decrease if the heading date is selected based on the optimum heading date of Historical, but to increase if based on that of near future. The mean rice production during the period of ripening is projected to decrease (to about 95% (RCP4.5) and 93% (RCP8.5) of the Historical) in the western and southern regions of the KP, but to increase (to about 104% (RCP4.5) and 106% (RCP8.5) of the Historical) in the northeastern coastal regions of the KP. However, if the optimum heading date is selected in the near future climate, the peak rice production is projected to increase (to about 105% (RCP4.5) and 104% (RCP8.5) of the Historical) in the western, southern and northeastern coastal regions of the KP, but to decrease (to about 98% (RCP4.5) and 96% (RCP8.5) of the Historical) in the southeastern coastal regions of the KP.
    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: Tellus A, Stockholm University Press, Vol. 57, No. 4 ( 2005-08), p. 622-640
    Type of Medium: Online Resource
    ISSN: 0280-6495 , 1600-0870
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Stockholm University Press
    Publication Date: 2005
    detail.hit.zdb_id: 2026987-0
    SSG: 16,13
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  • 6
    In: Tellus A, Stockholm University Press, Vol. 57, No. 4 ( 2005-08), p. 605-621
    Type of Medium: Online Resource
    ISSN: 0280-6495 , 1600-0870
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Stockholm University Press
    Publication Date: 2005
    detail.hit.zdb_id: 2026987-0
    SSG: 16,13
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  • 7
    In: International Journal of Climatology, Wiley, Vol. 40, No. 4 ( 2020-03-30), p. 2270-2284
    Abstract: The evaluation of climate model performance is necessary to enhance the reliability of available models. Recently, the interest in the added value has been increasing due to the continued enhancement of the horizontal model resolution for dynamical downscaling. We have examined the simulation performance of regional climate models (RCMs) forced by two global climate models (GCMs) for summer precipitation over Far East Asia and South Korea on the basis of spatial resolution improvement. In terms of model resolution, coarse‐resolution RCMs present limitations, whilst high‐resolution RCMs offer the added value as revealed by several performance evaluations. RCMs forced by HadGEM2‐AO estimated smaller summer precipitation over South Korea than those observed, whereas RCMs forced by MPI‐ESM‐LR presented a wet bias. Here, moderate‐heavy rain in RCMs forced by HadGEM2‐AO and light‐moderate rain in RCMs forced by MPI‐ESM‐LR were found to lead to dry and wet biases, respectively.
    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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  • 8
    In: International Journal of Climatology, Wiley, Vol. 41, No. S1 ( 2021-01)
    Abstract: Using the standardized precipitation evapotranspiration index, this study examines the combined effects of El Niño‐Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) on global droughts in terms of magnitude, timing, and duration. The ENSO‐affected drought hotspots are identified based on drought magnitude and probability of occurrence: five hotspots for El Niño (Amazon, India, central China, Indonesia, and eastern Australia) and four hotspots for La Niña (southeastern United States, southern South America, East Africa, and Southwest Asia). When ENSO and PDO are in phase, most of the hotspots exhibit an intensification and expansion of drought, more clearly at longer time scales (6–12 months), supporting previous studies. Interestingly, the in‐phase PDO advances El Niño‐induced drought onset by early summer of the previous year, whereas it delays the withdrawal of La Niña‐induced drought until the end of the event year. This asymmetric response is found to be in part associated with the earlier start and later end of El Niño itself during warm PDO, which does not hold for the La Niña/cold PDO composites. Further analyses of the responses of precipitation (P) and potential evapotranspiration (PET) to different ENSO‐PDO combinations suggest the important role of P reduction in determining drought magnitude and timing over most of the hotspots, with some contribution of enhanced PET to drier conditions over a few La Niña hotspots. It is also found that the PDO modulation of El Niño‐induced drought occurs primarily through the eastern Pacific El Niño with a limited influence on the central Pacific El Niño.
    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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  • 9
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  International Journal of Climatology Vol. 42, No. 12 ( 2022-10), p. 6579-6595
    In: International Journal of Climatology, Wiley, Vol. 42, No. 12 ( 2022-10), p. 6579-6595
    Abstract: The net effective temperature (NET), an index that includes the combined effects of temperature, humidity, and wind, was used along with temperature to assess the impacts of climate change on the heat stress perception in East Asia, one of the regions considered most vulnerable to heat stress. The need for dynamic downscaling has been emphasized because the regional effects of climate change do not follow the global levels linearly. In this study, daily maximums calculated from the 3‐hourly data downscaled by five different regional climate models from four coupled general circulation models participating in Coordinated Regional Climate Downscaling Experiment‐East Asia phase 2 were utilized. To account for the fact human beings acclimate to their environments, 95th percentile of the maximum temperature and maximum NET was used along with the average boreal summer maximum temperatures/NETs. The performance of the models was assessed first, which showed that the models reproduced the current climate well. Future projections revealed an increase in both average and 95th percentile of the maximum temperature and NET over the entire domain for both the RCP8.5 and SSP5‐8.5 scenarios. The increase in heat stress (NET) was slightly larger than the temperature itself, with an increase of up to 7/10°C for temperature and 8/11°C for NET in RCP8.5/SSP5‐8.5, respectively. The overall increases in temperature and NET were projected to be higher in the higher latitudes, while the increase in the frequency of the temperature and NET extremes was predicted to be higher in the already vulnerable regions in the southern part of the domain.
    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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  • 10
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  International Journal of Climatology Vol. 43, No. 1 ( 2023-01), p. 174-196
    In: International Journal of Climatology, Wiley, Vol. 43, No. 1 ( 2023-01), p. 174-196
    Abstract: The ability of 42 global climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), consisting of 20 low resolution (LR) and 22 medium resolution (MR), are evaluated for their performance in simulating mean and extreme precipitation over Indonesia. Compared to Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), the model climatologies and interannual variability are investigated individually and as multimodel ensemble means (MME‐mean) at monthly and seasonal time scales for the historical simulation over the period 1988–2014. Overall, results show that both LR and MR CMIP6 model skills in simulating mean and extreme precipitation indices vary across specific Indonesian regions and seasons. The individual and MME‐mean tend to overestimate the observed climatology, being largest over drier regions, yet MR models perform better compared to the LR regarding the mean bias presumably due to increased resolution. CMIP6 models tend to simulate extreme precipitation better in the dry seasons compared to the wet season. The MME‐means of the LR and MR groups mostly outperform the individual models of each group in simulating wet extremes (R95p and Rx5d) but not for the dry extremes (CDD). Among the 42 CMIP6 models, three models consistently perform poorly in simulating Rx5d and R95p, namely FGOALS‐g3, IPSL‐CM6A‐LR, and IPSL‐CM6A‐LR‐INCA, and one model in consecutive dry day (CDD) simulation, MPI‐ESM‐1‐2‐HAM, and caution is warranted. Given the knowledge of such biases, the LR and MR CMIP6 climate models can be suitably applied to assist policy makers in their decision on climate change adaptation and mitigation action.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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