VOD Client Software Realization of Digital TV STB

Wang, Yu Ru; Lan, Zhen Ping; Li, Ping

doi:10.4028/www.scientific.net/amr.694-697.2620

Cited by 1 publication

(2 citation statements)

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“…It seems that 38% of the TPW discontinuities can be explained by changes that occurred in surface observing systems but 62% of discontinuities are not matched with changes in data sources or satellite changes during assimilation in reanalysis datasets (see Table S1). Due to these undocumented discontinuities, it is not recommended to use adjusted or statistically homogenized timeseries for trend analysis without metadata confirmation (Wang and Feng, 2013) although there are slight differences between adjusted trends and raw trends (see Table S4).…”

Section: Further Discussionmentioning

confidence: 99%

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Global total precipitable water variations and trends during 1958–2021

Wan,

Lin,

Pielke Sr.

et al. 2024

Preprint

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Abstract. Global responses of the hydrological cycle to climate change have been widely studied but uncertainties of temperature responses to lower-tropospheric water vapor still remain. Here, we investigate the trends in global total precipitable water (TPW) and surface temperature from 1958 to 2021 using improved ERA5 and JRA-55 reanalysis datasets and further validate these trends by using radiosonde, Atmospheric Infrared Sounder (AIRS), and Microwave Satellite (SSMI(S)) observations. Our results indicate a global increase in total precipitable water (TPW) of 0.66 % per decade according to ERA5 data and 0.88 % per decade in JRA-55 data. These variations in TPW reflect the interactions of global warming feedback mechanisms across different spatial scales. Our results also revealed a significant near-surface temperature (T2m) warming trend at the rate of 0.14 K dec-1 and a strong water vapor response to temperature at a rate of 4–6 % K-1 globally, with land areas warming approximately twice as fast as the oceans. The relationship between TPW and T2m or surface skin temperature (Ts) showed a variation around 6–8 % K-1 in the 15–60° N latitude band, aligning with theoretical estimates from the Clausius–Clapeyron equation.

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Section: Further Discussionmentioning

confidence: 99%

“…Lastly, after identifications of discontinuity point's magnitudes and positions, the times series were adjusted using the quantile-matching (QM) procedure (Wang et al, 2010). Trend comparisons were conducted before and after QM-adjusted, and the RHtestsV4 tool is used for these calculations (Wang and Feng, 2013).…”

Section: Methodsmentioning

confidence: 99%