Evaluation of HY-2A Scatterometer Ocean Surface Wind Data during 2012–2018

Ke, Zhao; Zhao, Chunjiang

doi:10.3390/rs11242968

Cited by 10 publications

(10 citation statements)

References 22 publications

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“…To better compare with scatterometer winds, we further converted buoy wind data from 10 m neutral winds (marked as 10 ⃗⃗⃗⃗⃗⃗⃗⃗ ) to stress-equivalent winds (marked as 10 ⃗⃗⃗⃗⃗⃗⃗ ). The relation between the stress-equivalent winds and neutral winds is (De Kloe et al, 2017;Zhao & Zhao, 2019)…”

Section: Data Collocation Methodsmentioning

confidence: 99%

“…Wind direction statistical parameters were calculated by using Equation ( 4)-( 7) to ensure the direction continuity at 0°and 360° (Qiu & Li, 1997;Zhao & Zhao, 2019):…”

Section: The Statistical Parameter Calculation Methodsmentioning

confidence: 99%

“…To better compare with scatterometer winds, we further converted buoy wind data from 10 m neutral winds (marked as

\overset{true\to}{V_{10 n}}

) to stress‐equivalent winds (marked as

\overset{true\to}{V_{10 s}}

). The relation between the stress‐equivalent winds and neutral winds is (De Kloe et al., 2017; Zhao & Zhao, 2019):

\overset{true\to}{V_{10 s}} = \overset{true\to}{V_{10 n}} \sqrt{\frac{ρ}{〈 ρ 〉}},

where

ρ

is the air density (kg/m 3 ), which can be calculated from air temperature and pressure measured by buoys; and

〈 ρ 〉

is the global average air density and equals to 1.225 kg/m 3 here.…”

Section: Methodsmentioning

confidence: 99%

“…To quantitative analyze the differences between scatterometers and buoys, we calculated several statistical parameters such as average biases and root mean square errors by using the following equations (here, “< >” represents the statistical average) (Bentamy & Piollé, 2002; Chakraborty & Kumar, 2013; Zhao & Zhao, 2019):

B i a s_{s p d} = 〈 s p d_{S C A T} - s p d_{B U O Y} 〉,

R M S E_{s p d} = \sqrt{{〈 (s p d_{S C A T} - s p d_{B U O Y})}^{2} 〉} .

…”

Section: Methodsmentioning

confidence: 99%

“…Wind direction statistical parameters were calculated by using Equations to ensure the direction continuity at 0°and 360° (Qiu & Li, 1997; Zhao & Zhao, 2019):

\bar{U} = 〈 \sin (d i r_{S C A T} - d i r_{B U O Y}) 〉

\bar{V} = 〈 \cos (d i r_{S C A T} - d i r_{B U O Y}) 〉

{normalBias}_{d i r} = \cot (\bar{U} / \bar{V})

R M S E_{d i r} = \cot \sqrt{(〈 s i n^{2} (d i r_{S C A T} - d i r_{B U O Y}) 〉 / 〈 c o s^{2} (d i r_{S C A T} - d i r_{B U O Y}) 〉)} .

…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of Chinese Scatterometer Ocean Surface Wind Data: Preliminary Analysis

Zhao

Chen

2021

Earth and Space Science

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Section: Data Collocation Methodsmentioning

confidence: 99%

“…Wind direction statistical parameters were calculated by using Equation ( 4)-( 7) to ensure the direction continuity at 0°and 360° (Qiu & Li, 1997;Zhao & Zhao, 2019):…”

Section: The Statistical Parameter Calculation Methodsmentioning

confidence: 99%

“…To better compare with scatterometer winds, we further converted buoy wind data from 10 m neutral winds (marked as

\overset{true\to}{V_{10 n}}

) to stress‐equivalent winds (marked as

\overset{true\to}{V_{10 s}}

). The relation between the stress‐equivalent winds and neutral winds is (De Kloe et al., 2017; Zhao & Zhao, 2019):

\overset{true\to}{V_{10 s}} = \overset{true\to}{V_{10 n}} \sqrt{\frac{ρ}{〈 ρ 〉}},

where

ρ

is the air density (kg/m 3 ), which can be calculated from air temperature and pressure measured by buoys; and

〈 ρ 〉

is the global average air density and equals to 1.225 kg/m 3 here.…”

Section: Methodsmentioning

confidence: 99%

B i a s_{s p d} = 〈 s p d_{S C A T} - s p d_{B U O Y} 〉,

R M S E_{s p d} = \sqrt{{〈 (s p d_{S C A T} - s p d_{B U O Y})}^{2} 〉} .

…”

Section: Methodsmentioning

confidence: 99%

“…Wind direction statistical parameters were calculated by using Equations to ensure the direction continuity at 0°and 360° (Qiu & Li, 1997; Zhao & Zhao, 2019):