13 results on '"Mai Van Khiem"'
Search Results
2. Regional Climates
- Author
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Peter Bissolli, Catherine Ganter, Ademe Mekonnen, Ahira Sánchez-Lugo, Zhiwei Zhu, A. Abida, W. Agyakwah, Laura S. Aldeco, Eric J. Alfaro, Teddy Allen, Lincoln M. Alves, Jorge A. Amador, B. Andrade, P. Asgarzadeh, Grinia Avalos, Julian Baez, M. Yu. Bardin, E. Bekele, Renato Bertalanic, Oliver Bochníček, Brandon Bukunt, Blanca Calderón, Jayaka D. Campbell, Elise Chandler, Candice S Charlton, Vincent Y. S. Cheng, Leonardo A. Clarke, Kris Correa, Catalina R. Cortés Salazar, Felipe Costa, Lenka Crhová, Ana Paula Cunha, Mesut Demircan, K. R. Dhurmea, Diana A. Domínguez, Dashkhuu Dulamsuren, M. ElKharrim, Jhan-Carlo Espinoza, A. Fazl-Kezemi, Nava Fedaeff, Chris Fenimore, Steven Fuhrman, Karin Gleason, Charles 'Chip' P. Guard, Samson Hagos, Mizuki Hanafusa, Richard R. Heim, John Kennedy, Sverker Hellström, Hugo G. Hidalgo, I. A. Ijampy, Gyo Soon Im, G. Jumaux, K. Kabidi, Kenneth Kerr, Yelena Khalatyan, Valentina Khan, Mai Van Khiem, Tobias Koch, Gerbrand Koren, Natalia N. Korshunova, A. C. Kruger, Mónika Lakatos, Jostein Mamen, Hoang Phuc Lam, Mark A. Lander, Waldo Lavado-Casimiro, Tsz-Cheung Lee, Kinson H. Y. Leung, Xuefeng Liu, Rui Lu, José A. Marengo, Mohammadi Marjan, Ana E. Martínez, Charlotte McBride, Mirek Mietus, Noelia Misevicius, Aurel Moise, Jorge Molina-Carpio, Natali Mora, Awatif E. Mostafa, O. Ndiaye, Juan J. Nieto, Kristin Olafsdottir, Reynaldo Pascual Ramírez, David Phillips, Amos Porat, Esteban Rodriguez Guisado, Madhavan Rajeevan, Andrea M. Ramos, Cristina Recalde Coronel, Alejandra J. Reyes Kohler, M. Robjhon, Josyane Ronchail, Roberto Salinas, Hirotaka Sato, Hitoshi Sato, Amal Sayouri, Serhat Sensoy, Amsari Mudzakir Setiawan, F. Sima, Adam Smith, Matthieu Sorel, Sandra Spillane, Jacqueline M. Spence, O. P. Sreejith, A. K. Srivastava, Tannecia S. Stephenson, Kiyotoshi Takahashi, Michael A. Taylor, Wassila M. Thiaw, Skie Tobin, Lidia Trescilo, Adrian R. Trotman, Cedric J. Van Meerbeeck, A. Vazifeh, Shunya Wakamatsu, M. F. Zaheer, F. Zeng, and Peiqun Zhang
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Atmospheric Science - Published
- 2022
3. Orographic Effect and the Opposite Trend of Rainfall in Central Vietnam
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Nguyen Van, Thang, primary, Nguyen Dang, Mau, additional, Doan Quang, Van, additional, Bui Minh, Tuan, additional, Mai Van, Khiem, additional, Duong Van, Kham, additional, Tran Thanh, Thuy, additional, Trinh Hoang, Duong, additional, Tran Thi, Tam, additional, Nguyen Huu, Quyen, additional, Luong Xuan, Thai, additional, and Tran Duy, Hien, additional
- Published
- 2023
- Full Text
- View/download PDF
4. Regional Climates
- Author
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Peter Bissolli, Catherine Ganter, Tim Li, Ademe Mekonnen, Ahira Sánchez-Lugo, Eric J. Alfaro, Lincoln M. Alves, Jorge A. Amador, B. Andrade, Francisco Argeñalso, P. Asgarzadeh, Julian Baez, Reuben Barakiza, M. Yu. Bardin, Mikhail Bardin, Oliver Bochníček, Brandon Bukunt, Blanca Calderón, Jayaka D. Campbell, Elise Chandler, Ladislaus Chang’a, Vincent Y. S. Cheng, Leonardo A. Clarke, Kris Correa, Catalina Cortés, Felipe Costa, A.P.M.A. Cunha, Mesut Demircan, K. R. Dhurmea, A. Diawara, Sarah Diouf, Dashkhuu Dulamsuren, M. ElKharrim, Jhan-Carlo Espinoza, A. Fazl-Kazem, Chris Fenimore, Steven Fuhrman, Karin Gleason, Charles 'Chip' P. Guard, Samson Hagos, Mizuki Hanafusa, H. R. Hasannezhad, Richard R. Heim, Hugo G. Hidalgo, J. A. Ijampy, Gyo Soon Im, Annie C. Joseph, G. Jumaux, K. R. Kabidi, P-H. Kamsu-Tamo, John Kennedy, Valentina Khan, Mai Van Khiem, Philemon King’uza, Natalia N. Korshunova, A. C. Kruger, Hoang Phuc Lam, Mark A. Lander, Waldo Lavado-Casimiro, Tsz-Cheung Lee, Kinson H. Y. Leung, Gregor Macara, Jostein Mamen, José A. Marengo, Charlotte McBride, Noelia Misevicius, Aurel Moise, Jorge Molina-Carpio, Natali Mora, Awatif E. Mostafa, Habiba Mtongori, Charles Mutai, O. Ndiaye, Juan José Nieto, Latifa Nyembo, Patricia Nying’uro, Xiao Pan, Reynaldo Pascual Ramírez, David Phillips, Brad Pugh, Madhavan Rajeevan, M. L. Rakotonirina, Andrea M. Ramos, M. Robjhon, Camino Rodriguez, Guisado Rodriguez, Josyane Ronchail, Benjamin Rösner, Roberto Salinas, Hirotaka Sato, Hitoshi Sato, Amal Sayouri, Joseph Sebaziga, Serhat Sensoy, Sandra Spillane, Katja Trachte, Gerard van der Schrier, F. Sima, Adam Smith, Jacqueline M. Spence, O. P. Sreejith, A. K. Srivastava, José L. Stella, Kimberly A. Stephenson, Tannecia S. Stephenson, S. Supari, Sahar Tajbakhsh-Mosalman, Gerard Tamar, Michael A. Taylor, Asaminew Teshome, Wassila M. Thiaw, Skie Tobin, Adrian R. Trotman, Cedric J. Van Meerbeeck, A. Vazifeh, Shunya Wakamatsu, Wei Wang, Fei Xin, F. Zeng, Peiqun Zhang, and Zhiwei Zhu
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Atmospheric Science - Published
- 2021
5. Regional Climates
- Author
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Tim Li, Abdallah Abida, Laura S. Aldeco, Eric J. Alfaro, Lincoln M. Alves, Jorge A. Amador, B. Andrade, Julian Baez, M. Yu. Bardin, Endalkachew Bekele, Eric Broedel, Brandon Bukunt, Blanca Calderón, Jayaka D. Campbell, Diego A. Campos Diaz, Gilma Carvajal, Elise Chandler, Vincent. Y. S. Cheng, Chulwoon Choi, Leonardo A. Clarke, Kris Correa, Felipe Costa, A. P. Cunha, Mesut Demircan, R. Dhurmea, Eliecer A. Díaz, M. ElKharrim, Bantwale D. Enyew, Jhan C. Espinoza, Amin Fazl-Kazem, Nava Fedaeff, Z. Feng, Chris Fenimore, S. D. Francis, Karin Gleason, Charles 'Chip' P. Guard, Indra Gustari, S. Hagos, Richard R. Heim, Rafael Hernández, Hugo G. Hidalgo, J. A. Ijampy, Annie C. Joseph, Guillaume Jumaux, Khadija Kabidi, Johannes W. Kaiser, Pierre-Honore Kamsu-Tamo, John Kennedy, Valentina Khan, Mai Van Khiem, Khatuna Kokosadze, Natalia N. Korshunova, Andries C. Kruger, Nato Kutaladze, L. Labbé, Mónika Lakatos, Hoang Phuc Lam, Mark A. Lander, Waldo Lavado-Casimiro, T. C. Lee, Kinson H. Y. Leung, Andrew D. Magee, Jostein Mamen, José A. Marengo, Dora Marín, Charlotte McBride, Lia Megrelidze, Noelia Misevicius, Y. Mochizuki, Aurel Moise, Jorge Molina-Carpio, Natali Mora, Awatif E. Mostafa, uan José Nieto, Lamjav Oyunjargal, Reynaldo Pascual Ramírez, Maria Asuncion Pastor Saavedra, Uwe Pfeifroth, David Phillips, Madhavan Rajeevan, Andrea M. Ramos, Jayashree V. Revadekar, Miliaritiana Robjhon, Ernesto Rodriguez Camino, Esteban Rodriguez Guisado, Josyane Ronchail, Benjamin Rösner, Roberto Salinas, Amal Sayouri, Carl J. Schreck, Serhat Sensoy, A. Shimpo, Fatou Sima, Adam Smith, Jacqueline Spence, Sandra Spillane, Arne Spitzer, A. K. Srivastava, José L. Stella, Kimberly A. Stephenson, Tannecia S. Stephenson, Michael A. Taylor, Wassila Thiaw, Skie Tobin, Dennis Todey, Katja Trachte, Adrian R. Trotman, Gerard van der Schrier, Cedric J. Van Meerbeeck, Ahad Vazifeh, José Vicencio Veloso, Wei Wang, Fei Xin, Peiqun Zhang, Zhiwei Zhu, and Jonas Zucule
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Atmospheric Science ,Geography ,Physical geography - Published
- 2020
6. Application of GSMaP Satellite data in precipitation estimation and nowcasting: evaluations for October 2019 to January 2020 period for Vietnam
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Mai Khanh Hung, Kazuo Saito, Mai Van Khiem, Du Duc Tien, and Nguyen Viet Hung
- Published
- 2020
7. Lựa chọn thành phần dự báo tổ hợp cho hệ thống dự báo hạn mùa
- Author
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Mai Van Khiem
- Published
- 2019
8. Climatic Factors Associated with Heavy Rainfall in Northern Vietnam in Boreal Spring.
- Author
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Nguyen Van, Thang, Nguyen Dang, Mau, Mai Van, Khiem, Trinh Hoang, Duong, Duong Van, Kham, Tran Thanh, Thuy, Vu Quoc, Tuan, and Thai Thi Thanh, Minh
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LANDSLIDES ,SEASONS - Abstract
Heavy rainfall occurs frequently in Northern Vietnam and causes severe floods and landslides. Heavy rainfall not only appears in rainy seasons (May–October) but also regularly occurs in spring (February–April). This study is devoted to identifying the climatic factors that influence the variation of rainfall, particularly heavy rainfall in Northern Vietnam in the dry season. Analysis based on the observed rainfall, PERSIANN satellite rainfall data, and ERA5 reanalysis reveals that spring should not be considered a dry season, but the first period of a rainy season in Northern Vietnam. Spring rainfall is caused by collaborative effects of cold surge, subtropical high, and the deepening of the low pressure over the Northeastern Tibetan Plateau and Bay of Bengal (BOB). Based on the composite analysis of heavy rainfall events in Northern Vietnam in the transitional season, two heavy rainfall patterns are recognized. The first is related to the southward movement of a meso-scale vortex and the cold surge, while the second one is induced by the interaction of cold surge and the deepening of an upper-level trough. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
9. Study of Biascorrection Methods for Seasonal Rainfall Forecast over Vietnam
- Author
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Mai Van Khiem
- Subjects
Climatology ,Environmental science - Abstract
This study presents some results about biascorrectionseasonal rainfall forecast from the regional spectral model (RSM), following two methods are quantile-quantile with an approximate gamma function (QM-G), and Bayesian joint probability (BJP). RSM ran forecast for the period 1982-2014, with data input from global model CFS,and lead time up to five months. The results show that the BJP made the correlationbetween rainfall forecastand observation increased significantly, the coefficient correlation after corrected is about 0.77 in all three lead times. The bias and error after did correctly by BJP were reduced away clearly, the differencesare almost notin all of three lead times, the error in months from April to October is the smallest and about 20-50%, therein the Northwest climate gives the smallest error. The correction with QM-G did not improve the correlation and bias, which is also made the model losing systematic ofthe error. Keywords: Rain correction, seasonal forecast, Vietnam region, RSM
- Published
- 2018
10. Contructing Climate Change Scenarios for Ho Chi Minh City
- Author
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Mai Van Khiem
- Subjects
Geography ,Climate change ,Socioeconomics ,Ho chi minh - Abstract
This article presents the results of constructing climate change scenarios for Ho Chi Minh City (HCMC)based on the climate change scenarios of Vietnam published in 2016 by the Ministry of Natural Resources and Environment. Four high- resolution regional climate models include CCAM, clWRF, PRECIS, RegCM were used to downscale results of global climate models. The results show that the annual average temperature in HCMC tends to increase in the future compared to the baseline period 1986-2005, the increase depends on each RCP scenario. By the end of the century, the annual average temperature in HCMC had an increase of about 1.7÷1.9°C under the RCP4.5 scenario and 3.2÷3.6°C under RCP8.5.Meanwhile, annual rainfall in HCMC tends to increase in most periods under both of RCP scenarios. By the end of the century, annual rainfall in HCMC increases from 15% to 25% in the RCP4.5 scenario and 20-25% in the RCP8.5 scenario. Annual rainfall in coastal areas increases more than inland areas. Keyword: Climate change scenarios, Ho Chi Minh city
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- 2018
11. Assessing the Rain estimate from the reflectivity of Nha Be Radar
- Author
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Mai Van Khiem, Cong Thanh, and Nguyen Nhu Quy
- Subjects
law ,Environmental science ,Radar ,Reflectivity ,Remote sensing ,law.invention - Abstract
This study evaluates the estimated rainfall from Nha Be radar observation according to different experimental formulas. The results show that in six estimation formulas used, the formulation of Joss's large-scale rainfall estimation and Marshall-Plamer's formulation can be used to estimate the precipitation for the single southwest monsoon with an error about 5 mm/h and usually less than the observed value. The rainfall estimation formulas by Nguyen Huong Dien is the optimum estimation for the 9 synoptic rainfall patterns: Intertropical Convergence Zone, Southwest monsoon associated with Intertropical Convergence Zone, low-pressure area, thunderstorm, disturbance in East winds, low-pressure area associated with Southwest monsoon, low-pressure troughs have a Northwestern-Southeasterly direction and other synoptic patterns with errors: 5mm/h, 9.5 mm/h, 14 mm/h, 7mm/h, 19 mm/h, 8 mm/h, 8.5 mm/h, 9.5 mm/h and 14.7 mm/h, respectively. Keywords: Radar, rain estimate.
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- 2018
12. High-resolution simulations for Vietnam - methodology and evaluation of current climate
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Hien Thuan Nguyen, Peter Hoffmann, Thang Van Vu, Mai Van Khiem, Thang Van Nguyen, Kien Ba Truong, Thanh Ngo-Duc, Doan Ha Phong, Tran Thuc, Trung Nguyen-Quang, Kim Nguyen, Suppiah Ramasamy, John L. McGregor, Tan Phan-Van, Long Trinh-Tuan, Hiep Van Nguyen, Jack Katzfey, and Bang Thanh Nguyen
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Atmospheric Science ,Coupled model intercomparison project ,010504 meteorology & atmospheric sciences ,0208 environmental biotechnology ,Climate change ,02 engineering and technology ,Atmospheric model ,Atmospheric sciences ,Annual cycle ,01 natural sciences ,020801 environmental engineering ,Climatology ,Spatial ecology ,Environmental science ,Climate model ,Precipitation ,0105 earth and related environmental sciences ,Downscaling - Abstract
To assist the government of Vietnam in its efforts to better understand the impacts of climate change and prioritise its adaptation measures, dynamically downscaled climate change projections were produced across Vietnam. Two Regional Climate Models (RCMs) were used: CSIRO’s variable-resolution Conformal-Cubic Atmospheric Model (CCAM) and the limited-area model Regional Climate Model system version 4.2 (RegCM4.2). First, global CCAM simulations were completed using bias- and variance-corrected sea surface temperatures as well as sea ice concentrations from six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models. This approach is different from other downscaling approaches as it does not use any atmospheric fields from the GCMs. The global CCAM simulations were then further downscaled to 10 km using CCAM and to 20 km using RegCM4.2. Evaluations of temperature and precipitation for the current climate (1980-2000) were completed using station data as well as various gridded observational datasets. The RCMs were able to reproduce reasonably well most of the important characteristics of observed spatial patterns and annual cycles of temperature. Average and minimum temperatures were well simulated (biases generally less than 1oC), while maximum temperatures had biases of around 1oC. For precipitation, although the RCMs captured the annual cycle, RegCM4.2 was too dry in Oct.-Nov. (-60% bias), while CCAM was too wet in Dec.- Mar. (130% bias). Both models were too dry in summer and too wet in winter (especially in northern Vietnam). The ability of the ensemble simulations to capture current climate increases confidence in the simulations of future climate.
- Published
- 2016
13. Ảnh hưởng của bão ở Việt Nam thời kì 1961 - 2014
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Vũ Văn Thăng, Mai Van Khiem, Lã Thị Tuyết, Nguyễn Trọng Hiếu, Nguyễn Đăng Mậu, and Nguyễn Văn Thắng
- Published
- 2016
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