Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China

Wu, Zhiyong; Feng, Huihui; He, Honglin; Zhou, Jianhong; Zhang, Yuliang

doi:10.1007/s11269-020-02743-w

Cited by 88 publications

(39 citation statements)

References 36 publications

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“…An advantage of ERA5-Land data is the high native horizontal resolution (9 km) while it also offers the capability of long-term hourly or monthly analyses as it covers a time period from 1981 to nearly present (2-3 months before). ERA5-Land provides high-quality information which can be exploited by various climatic studies and interdisciplinary analyses (e.g., [30][31][32]. For this study, we retrieved monthly averaged precipitation, skin temperature (considered as surface temperature), and wind speed data for a 39-year period from January 1981 to November 2020.…”

Section: Climate Datamentioning

confidence: 99%

Four Decades of Surface Temperature, Precipitation, and Wind Speed Trends over Lakes of Greece

et al. 2021

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Climate change is known to affect world’s lakes in many ways. Lake warming is perhaps the most prominent impact of climate change but there is evidence that changes of precipitation and wind speed over the surface of the lakes may also have a significant effect on key limnological processes. With this study we explored the interannual trends of surface temperature, precipitation, and wind speed over 18 lakes of Greece using ERA5-Land data spanning over a period of almost four decades. We used generalized additive models (GAMs) to conduct time-series analysis in order to identify significant trends of change. Our results showed that surface temperature has significantly increased in all lakes with an average rate of change for annual temperature of 0.43 °C decade−1. With regard to precipitation, we identified significant trends for most lakes and particularly we found that precipitation decreased during the first two decades (1981–2000), but since 2000 it increased notably. Finally, wind speed did not show any significant change over the examined period with the exception for one lake. In summary, our work highlights the major climatic changes that have occurred in several freshwater bodies of Greece. Thus, it improves our understanding on how climate change may have impacted the ecology of these important ecosystems and may aid us to identify systems that are more vulnerable to future changes.

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Section: Climate Datamentioning

confidence: 99%

Four Decades of Surface Temperature, Precipitation, and Wind Speed Trends over Lakes of Greece

et al. 2021

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“…In this study, the soil moisture data from 2014 to 2016 were selected and processed by unit conversion to match the satellite datasets. Both global and regional evaluation studies have also shown that Noah2.1 significantly improves over its older versions [43,58,60].…”

Section: Noah Soil Moisturementioning

confidence: 98%

“…This study uses the ERA5-Land volumetric soil water layer 1 (0-7 cm), resampled at 0.25 • × 0.25 • resolution. Several studies have shown that the ERA5-Land SM can capture soil moisture dynamics from ground observations [58].…”

Section: Era5 Lst and Soil Moisturementioning

confidence: 99%

Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations

Wang

Hagan

et al. 2022

Remote Sensing

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Soil moisture plays an essential role in the land-atmosphere interface. It has become necessary to develop quality large-scale soil moisture data from satellite observations for relevant applications in climate, hydrology, agriculture, etc. Specifically, microwave-based observations provide more consistent land surface records because they are unhindered by cloud conditions. The recent microwave radiometers onboard FY-3B, FY-3C and FY-3D satellites launched by China’s Meteorological Administration (CMA) extend the number of available microwave observations, covering late 2011 up until the present. These microwave observations have the potential to provide consistent global soil moisture records to date, filling the data gaps where soil moisture estimates are missing in the existing records. Along these lines, we studied the FY-3C to understand its added value due to its unique time of observation in a day (ascending: 22:15, descending: 10:15) absent from the existing satellite soil moisture records. Here, we used the triple collocation technique to optimize a benchmark retrieval model of land surface temperature (LST) tailored to the observation time of FY3C, by evaluating various soil moisture scenarios obtained with different bias-imposed LSTs from 2014 to 2016. The globally optimized LST was used as an input for the land parameter retrieval model (LPRM) algorithm to obtain optimized global soil moisture estimates. The obtained FY-3C soil moisture observations were evaluated with global in situ and reanalysis datasets relative to FY3B soil moisture products to understand their differences and consistencies. We found that the RMSEs of their anomalies were mostly concentrated between 0.05 and 0.15 m3 m−3, and correlation coefficients were between 0.4 and 0.7. The results showed that the FY-3C ascending data could better capture soil moisture dynamics than the FY-3B estimates. Both products were found to consistently complement the skill of each other over space and time globally. Finally, a linear combination approach that maximizes temporal correlations merged the ascending and descending soil moisture observations separately. The results indicated that superior soil moisture estimates are obtained from the combined product, which provides more reliable global soil moisture records both day and night. Therefore, this study aims to show that there is merit to the combined usage of the two FY-3 products, which will be extended to the FY-3D, to fill the gap in existing long-term global satellite soil moisture records.

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“…ERA5-Land is a repeat of the ERA5 climate reanalysis, while a series of improvements have been made to make it better meet application requirements [21,[35][36][37]. In particular, ERA5-Land runs at enhanced resolution (9 km vs. 31 km in ERA5).…”

Section: Era5-land Datamentioning

confidence: 99%

Multiscale Assessments of Three Reanalysis Temperature Data Systems over China

Huang¹,

Han

Shi

2021

Agriculture

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Temperature is one of the most important meteorological variables for global climate change and human sustainable development. It plays an important role in agroclimatic regionalization and crop production. To date, temperature data have come from a wide range of sources. A detailed understanding of the reliability and applicability of these data will help us to better carry out research in crop modelling, agricultural ecology and irrigation. In this study, temperature reanalysis products produced by the China Meteorological Administration Land Data Assimilation System (CLDAS), the U.S. Global Land Data Assimilation System (GLDAS) and the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version5 (ERA5)-Land are verified against hourly observations collected from 2265 national automatic weather stations (NAWS) in China for the period 2017–2019. The above three reanalysis systems are advanced and widely used multi-source data fusion and re-analysis systems at present. The station observations have gone through data Quality Control (QC) and are taken as “true values” in the present study. The three reanalysis temperature datasets were spatial interpolated using the bi-linear interpolation method to station locations at each time. By calculating the statistical metrics, the accuracy of the gridded datasets can be evaluated. The conclusions are as follows. (1) Based on the evaluation of temporal variability and spatial distribution as well as correlation and bias analysis, all the three reanalysis products are reasonable in China. (2) Statistically, the CLDAS product has the highest accuracy with the root mean square error (RMSE) of 0.83 °C. The RMSEs of the other two reanalysis datasets produced by ERA5-Land and GLDAS are 2.72 °C and 2.91 °C, respectively. This result indicates that the CLDAS performs better than ERA5-Land and GLDAS, while ERA5-Land performs better than GLDAS. (3) The accuracy of the data decreases with increasing elevation, which is common for all of the three products. This implies that more caution is needed when using the three reanalysis temperature data in mountainous regions with complex terrain. The major conclusion of this study is that the CLDAS product demonstrates a relatively high reliability, which is of great significance for the study of climate change and forcing crop models.

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Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China

Cited by 88 publications

References 36 publications

Four Decades of Surface Temperature, Precipitation, and Wind Speed Trends over Lakes of Greece

Four Decades of Surface Temperature, Precipitation, and Wind Speed Trends over Lakes of Greece

Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations

Multiscale Assessments of Three Reanalysis Temperature Data Systems over China

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