Soil moisture is a key state variable in many hydrological processes. The Global Land Data Assimilation System (GLDAS) can produce global and continuous soil moisture data sets which have been used in many applications. In this study, simulated soil moisture from four land surface models (LSM) (Mosaic, Noah, Community Land Model, and Variable Infiltration Capacity) in GLDAS‐1 and the more recent GLDAS‐2 were evaluated against in situ soil moisture measurements collected from two soil moisture networks located on the Tibetan Plateau at different soil depths. The two networks provide a representation of different climates and land surface conditions on the Tibetan Plateau which can make the evaluation results more robust and reliable. The results show that all the LSMs can well capture the temporal variation of observed soil moisture with the correlation coefficients mostly being above 0.5. However, they all display biases with the surface soil moisture being systematically underestimated in both of two network regions, and the Mosaic model always shows the largest bias that even reaches 0.192 m3/m3. The causes of the biases were investigated in detail, and we found that the biases may mainly be caused by the soil stratification phenomenon over the Tibetan Plateau. Moreover, errors in model parameters, especially the soil properties data, deficiencies in model structures, and mismatch of the spatial scale and soil depth between LSM simulations and in situ measurements may contribute to the biases as well. Additionally, it was found that GLDAS‐2 nearly does not show superior performance than GLDAS‐1 over the Tibetan Plateau.
The Soil Moisture Active Passive (SMAP) mission, which is the newest L-band satellite that is specifically designed for soil moisture monitoring, was launched on January 31, 2015. A beta quality version of the SMAP radiometer soil moisture product was recently released to the public. It is crucial to evaluate the reliability of this product before it can be routinely used in hydrometeorological studies at a global scale. In this paper, we carried out a preliminary evaluation of the SMAP radiometer soil moisture product against in situ measurements collected from three networks that cover different climatic and land surface conditions, including two dense networks established in the U.S. and Finland, and one sparse network set up in Romania. Results show that the SMAP soil moisture product is in good agreement with the in situ measurements, although it exhibits dry or wet bias at different network regions. It well reproduces the temporal evolution and anomalies of the observed soil moisture with a favorable correlation greater than 0.7. The overall ubRMSE (unbiased root mean square error) of SMAP product is 0.036 m 3 ·m −3 , well within the mission requirement of 0.04 m 3 ·m −3 . The error sources of SMAP soil moisture product may be associated with the parameterization of vegetation and surface roughness but still needs to be tested and confirmed in more extent. Considering that the algorithms are still under refinement, it can be reasonably expected that hydrometeorological applications will benefit from the SMAP radiometer soil moisture product.
BackgroundAcute respiratory infections (ARIs) cause a considerable morbidity and mortality worldwide especially in children. However, there are few studies of the etiological structure of ARIs in Russia. In this work, we analyzed the etiology of ARIs in children (0–15 years old) admitted to Novosibirsk Children’s Municipal Clinical Hospital in 2013–2017.MethodsWe tested nasal and throat swabs of 1560 children with upper or lower respiratory infection for main respiratory viruses (influenza viruses A and B, parainfluenza virus types 1–4, respiratory syncytial virus, metapneumovirus, four human coronaviruses, rhinovirus, adenovirus and bocavirus) using a RT-PCR Kit.ResultsWe detected 1128 (72.3%) samples were positive for at least one virus. The most frequently detected pathogens were respiratory syncytial virus (358/1560, 23.0%), influenza virus (344/1560, 22.1%), and rhinovirus (235/1560, 15.1%). Viral co-infections were found in 163 out of the 1128 (14.5%) positive samples. We detected significant decrease of the respiratory syncytial virus-infection incidence in children with increasing age, while the reverse relationship was observed for influenza viruses.ConclusionsWe evaluated the distribution of respiratory viruses in children with ARIs and showed the prevalence of respiratory syncytial virus and influenza virus in the etiological structure of infections. This study is important for the improvement and optimization of diagnostic tactics, control and prevention of the respiratory viral infections.
Abstract. Baffin Bay serves as a huge reservoir of sea ice which would provide the
solid freshwater sources to the seas downstream. By employing
satellite-derived sea ice motion and concentration fields, we obtain a nearly
40-year-long record (1978–1979 to 2016–2017) of the sea ice area flux
through key fluxgates of Baffin Bay. Based on the estimates, the Baffin Bay
sea ice area budget in terms of inflow and outflow are quantified and
possible causes for its interannual variations and trends are analyzed. On
average, the annual (September–August) inflows through the northern gate and
Lancaster Sound are on the order of 205.8(±74.7)×103 km2
and 55.2(±17.8)×103 km2. In particular, a comparison with
published results seems to suggest that about 75 %–85 % of the
inflow through the northern gates is newly formed ice produced in the
recurring North Water Polynya (NOW), in addition to the inflow via Nares
Strait and Jones Sound. Meanwhile, the mean outflow via the southern gate
approaches 394.3(±110.2)×103 km2. The distinct
interannual variability for ice area flux through the northern gate and
southern gate is partly explained by wind forcing associated with cross-gate
sea level pressure difference, with correlations of 0.62 and 0.68,
respectively. Also, significant increasing trends are found for the annual
sea ice area flux through the three gates, amounting to 38.9×103,
82.2×103, and 7.5×103 km2 decade−1 for the northern gate, southern gate, and Lancaster Sound.
These trends are chiefly related to the increasing ice motion, which is
associated with thinner ice owing to the warmer climate (i.e., higher surface
air temperature and shortened freezing period) and increased air and water
drag coefficients over the past decades.
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