Sea surface temperature trend analysis by Mann-Kendall test and sen’s slope estimator: a study of the Hai Phong coastal area (Vietnam) for the period 1995-2020

Duy, Vinh Vu; Ouillon, Sylvain; Minh, Hai Nguyen

doi:10.15625/2615-9783/16874

Cited by 9 publications

(6 citation statements)

References 31 publications

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“…In this study, the magnitude and rate of change in the temperature (°C/year) and rainfall (mm/year) on the annual as well as on the seasonal scale over the study area were estimated using the Sen's slope estimator method. As mentioned earlier in the literature review section, this method has been applied in various studies in the past to determine the magnitude of trends in the meteorological time series data [28,31,36,42]. The statistics for the Sen's slope estimator method were computed using the following equations [27]:…”

Section: Sen's Slope Estimator Methodsmentioning

confidence: 99%

Spatio-temporal Assessment of Changing Annual and Seasonal Climate Patterns over the Major Climatic Zones of Pakistan

Qureshi¹,

Shah²,

Teo³

2023

JSCET

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The extensive impacts of climate change on the ecology and the environment have made it one of the biggest challenges being faced by the humanity today. Apart from the temporal scale, the climate patterns also vary on the spatial scale due to the different spatial features and the latitudinal location. This necessitates investigating the changing climate patterns over the different locales to formulate a holistic climate change adaptation and mitigation strategy. Therefore, this study was conducted to briefly investigate the annual and seasonal climate trends over the major climatic zones of Pakistan during the period 1990-2022 using the MK test and Sen’s slope estimator method. The results obtained from the study showed an annual mean temperature rise of about 0.1 to 1.0 °C over the Greater Himalayas and sub-Montane region, and about 0.15 to 1.2 °C over the central, southern, and the coastal parts of the country, while a declining trend was found over the Western Highlands during the study period. Seasonally, the spring season was found to be the warmest among all seasons in the country. For the summer season, a declining trend was found over the Greater Himalayas and Western Highlands, while warming increased over the other climatic zones. For the winter season, the temperature rose by about 0.1 to 1.0 °C over the Greater Himalayas and northern Balochistan, and by about 0.1 to 0.2 °C over the coastal zones. For annual precipitation, an increasing trend was found over the majority of the selected stations, whereas for the summer monsoon, a declining trend was found over the Greater Himalayas, while the other zones witnessed a significant rising trend, with the highest increment noted over the Western Highlands (100-300 mm), and about 50-150 mm in central Punjab and the lower Indus plain. For winter precipitation, the Greater Himalayas observed an upward trend (0.3-0.9 mm/year), while the southern and coastal parts of the country witnessed a declining pattern. Based on the findings, it was established that the climate patterns have varied greatly on the spatial scale over Pakistan, which necessitates the formulation of an integrated and effective climate change adaptation and mitigation strategy for the conservation of natural resources in the country.

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Section: Sen's Slope Estimator Methodsmentioning

confidence: 99%

Spatio-temporal Assessment of Changing Annual and Seasonal Climate Patterns over the Major Climatic Zones of Pakistan

Qureshi¹,

Shah²,

Teo³

2023

JSCET

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“…Some recent studies have also shown that the coastal area of Hai Phong is affected by climate change. Sea surface warming trend was +0.02 • C/year for the period 1995-2020 and of +0.093 • C/year for the period 2008-2020 [54]; the average annual rise of sea level was 7.78 mm/year over the periods 2002-2020 [50].…”

Section: Hai Phong Coastal Areamentioning

confidence: 99%

Sea Level Variation and Trend Analysis by Comparing Mann–Kendall Test and Innovative Trend Analysis in Front of the Red River Delta, Vietnam (1961–2020)

Nguyen

Ouillon

Vinh

2022

Water

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In this study, we analyze sea surface height referenced against the WGS84 ellipsoid at the Hon Dau tidal gauge station (Hai Phong, Vietnam), in front of the Red River Delta, between 1961 and 2020. The annual sea level varied from 165.23 cm to 206.06 cm in this period (+20.28 cm over 60 years). The average water level was 190.87 cm for 60 years, with higher annual values in recent years, especially from 2016 to the present (above 201.5 cm). The Mann–Kendall (MK) test with Sen’s slope estimator and Şen’s innovative trend analysis (ITA) were applied and compared to estimate the sea level rise. These methods showed complete agreement among tests with significant rising trends of about 3.38 mm/year with the MK test and 3.08 mm/year with the ITA method for 1961–2020. During the last 20 years (2001–2020), the mean sea level increased about 7.16 mm/year (MK test and Sen’s slope), 7.38 mm/year (ITA method), and around twice higher than the rate of the region and globally. The MK test and ITA method provided similar results for periods: 1961–2020, 1961–1980, and 2001–2020, with relatively stable monotonic related trend conditions. For the period 1981–2000, with a more nonmonotonic trend, the MK test and ITA method provided different trends and allowed to illustrate the specificity of each method.

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“…Recently, Ca [28] illustrated that the Bai Chay tide gauge sea level increased by 2.07 mm/year from 1961 to 2012. Some recent studies use Mann-Kendall, Sen's slop, and the Empirical mode decomposition methods (EMD) to calculate water level and temperature trends due to climate change at annual, seasonal, and monthly scales at the Hon Dau station as well as show the relationship between ENSO and these factors [37,38]. However, all research in Ha Long coastal area only calculated annual SLR and did not analyze the trend of SLR on monthly and seasonal scales.…”

Section: Figure 1 the Ha Long Coastal Area And The Ha Long Stationmentioning

confidence: 99%

How climate change affected on water level in Ha Long coastal area in the period 1974–2020: results from the mann-kendall test and sen’s slope estimate

Minh

Duy

2022

VJMST

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The impact of climate change on sea level has attracted much attention from scientists worldwide. The analysis of sea-level change at global and regional scales is based on altimetry and/or tide gauge data. The main objective’s study relied on statistical tests to highlight the significant long-term changes in sea level in Ha Long coastal area through the 47 years (1974–2020) historical tide gauge record of the Bai Chay station. The average water level in this area was 207.9 cm, which tended to be higher in recent years, especially from 2006 to the present (above 210 cm). Moreover, sea level trends were carried out separately for the whole period (1974–2020) and the last 19 years (2002–2020) by the Mann-Kendall test and Sen’s slope estimator. The results showed a significant sea-level rise (SLR) trend with a 95–100% confidence level. The average annual rates of sea-level were 3.14 mm/year and 5.83 mm/year in 1974–2020 and 2002–2020, respectively, indicating an SLR of about 14.76 cm over 47 years and significant acceleration in SLR recently (11.01 cm over the last 19 years).

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Sea surface temperature trend analysis by Mann-Kendall test and sen’s slope estimator: a study of the Hai Phong coastal area (Vietnam) for the period 1995-2020

Cited by 9 publications

References 31 publications

Spatio-temporal Assessment of Changing Annual and Seasonal Climate Patterns over the Major Climatic Zones of Pakistan

Spatio-temporal Assessment of Changing Annual and Seasonal Climate Patterns over the Major Climatic Zones of Pakistan

Sea Level Variation and Trend Analysis by Comparing Mann–Kendall Test and Innovative Trend Analysis in Front of the Red River Delta, Vietnam (1961–2020)

How climate change affected on water level in Ha Long coastal area in the period 1974–2020: results from the mann-kendall test and sen’s slope estimate

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