AsiaRiceYield4km: seasonal rice yield in Asia from 1995 to 2015 by H. Wu, H. Wu, J. Zhang, J. Zhang, Z. Zhang, Z. Zhang, J. Han, J. Han, J. Cao, J. Cao, L. Zhang, L. Zhang, Y. Luo, Y. Luo, Q. Mei, Q. Mei, J. Xu, F. Tao, F. Tao

“…The results showed that AsiaRiceYield4km achieves good accuracy for seasonal rice yield estimation (single rice: <span class="inline-formula"><i>R</i>²=0.88</span>, RMSE <span class="inline-formula">=</span> 920 kg ha<span class="inline-formula">⁻¹</span>; double rice: <span class="inline-formula"><i>R</i>²=0.91</span>, RMSE <span class="inline-formula">=</span> 554 kg ha<span class="inline-formula">⁻¹</span>; and triple rice: <span class="inline-formula"><i>R</i>²=0.93</span>, RMSE <span class="inline-formula">=</span> 588 kg ha<span class="inline-formula">⁻¹</span>). …”
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Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record by M. Coldewey-Egbers, D. G. Loyola, C. Lerot, M. Van Roozendael​​​​​​​

“…The focus of our work is to examine the regional patterns and seasonal dependency of the ozone trend. In the Southern Hemisphere we found regions that indicate statistically significant positive trends increasing from 0.6 <span class="inline-formula">±</span> 0.5(<span class="inline-formula">2<i>σ</i></span>) % per decade in the subtropics to 1.0 <span class="inline-formula">±</span> 0.9 % per decade in the middle latitudes and 2.8 <span class="inline-formula">±</span> 2.6 % per decade in the latitude band 60–70<span class="inline-formula">^∘</span> S. …”
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Estimation of regional irrigation water requirements and water balance in Xinjiang, China during 1995–2017 by Yinbo Li, Hongwei Wang, Yun Chen, Mingjiang Deng, Qian Li, Adiliai Wufu, Dan Wang, Ligang Ma

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High-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina by S. E. Puliafito, S. E. Puliafito, T. R. Bolaño-Ortiz, T. R. Bolaño-Ortiz, T. R. Bolaño-Ortiz, R. P. Fernandez, R. P. Fernandez, R. P. Fernandez, L. L. Berná, L. L. Berná, R. M. Pascual-Flores, R. M. Pascual-Flores, J. Urquiza, J. Urquiza, A. I. López-Noreña, A. I. López-Noreña, A. I. López-Noreña, M. F. Tames, M. F. Tames

“…<span class="inline-formula">2.5 km×2.5</span> km) considering monthly variability from 1995 to 2020. …”
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Seasonal variations between sampling and classical mean turbulent heat flux estimates in the eastern North Atlantic by S. A. Josey, E. C. Kent, P. K. Taylor

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Seasonal variations between sampling and classical mean turbulent heat flux estimates in the eastern North Atlantic by S. A. Josey, E. C. Kent, P. K. Taylor

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Decreasing seasonal cycle amplitude of methane in the northern high latitudes being driven by lower-latitude changes in emissions and transport by E. Dowd, C. Wilson, C. Wilson, M. P. Chipperfield, M. P. Chipperfield, E. Gloor, A. Manning, R. Doherty

“…<p>Atmospheric methane (CH<span class="inline-formula">₄</span>) concentrations are rising, which are expected to lead to a corresponding increase in the global seasonal cycle amplitude (SCA) – the difference between its seasonal maximum and minimum values. …”
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Ice-supersaturated air masses in the northern mid-latitudes from regular in situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint by A. Petzold, P. Neis, P. Neis, P. Neis, M. Rütimann, S. Rohs, F. Berkes, F. Berkes, H. G. J. Smit, M. Krämer, M. Krämer, N. Spelten, P. Spichtinger, P. Nédélec, A. Wahner

“…<p>The vertical distribution and seasonal variation of water vapour volume mixing ratio (<span class="inline-formula">H₂O</span> VMR), of relative humidity with respect to ice (RH<span class="inline-formula">_ice</span>) and particularly of regions with ice-supersaturated air masses (ISSRs) in the extratropical upper troposphere and lowermost stratosphere are investigated at northern mid-latitudes over the eastern North American, North Atlantic and European regions for the period 1995 to 2010. …”
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Air quality in the eastern United States and Eastern Canada for 1990–2015: 25 years of change in response to emission reductions of SO₂ and NO_<i>x</i> in th... by J. Feng, E. Chan, R. Vet, R. Vet

“…</p> <p>In the past 26 years from 1990 to 2015, emissions of <span class="inline-formula">SO₂</span> and <span class="inline-formula">NO_<i>x</i></span> in the US were significantly reduced from 23.1 and 25.2 million t&thinsp;yr<span class="inline-formula">⁻¹</span> in 1990 to 3.7 and 11.5 million t&thinsp;yr<span class="inline-formula">⁻¹</span> in 2015, respectively. …”
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Analysis of 24 years of mesopause region OH rotational temperature observations at Davis, Antarctica – Part 1: long-term trends by W. J. R. French, F. J. Mulligan, A. R. Klekociuk, A. R. Klekociuk

“…Routine observations of the OH(6-2) band P-branch emission lines using a scanning spectrometer at Davis station have been made continuously over each winter season since 1995. Significant outcomes of this most recent analysis update are the following: (a) a record-low winter-average temperature of 198.3&thinsp;K is obtained for 2018 (1.7&thinsp;K below previous low in 2009); (b) a long-term cooling trend of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">1.2</mn><mo>±</mo><mn mathvariant="normal">0.51</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="32f9db189451bf166e3994fa95b7b704"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-20-6379-2020-ie00001.svg" width="58pt" height="10pt" src="acp-20-6379-2020-ie00001.png"/></svg:svg></span></span>&thinsp;K per decade persists, coupled with a solar cycle response of <span class="inline-formula">4.3±1.02</span>&thinsp;K per 100 solar flux units; and (c) we find evidence in the residual winter mean temperatures of an oscillation on a quasi-quadrennial (QQO) timescale which is investigated in detail in Part 2 of this work.…”
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The Elbrus (Caucasus, Russia) ice core record – Part 1: reconstruction of past anthropogenic sulfur emissions in south-eastern Europe by S. Preunkert, M. Legrand, S. Kutuzov, P. Ginot, P. Ginot, V. Mikhalenko, R. Friedrich

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Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution by R. Muñoz-Carpena, C. Lauvernet, N. Carluer

“…To simulate VFS infiltration under realistic rainfall conditions with WT, we propose a generic infiltration solution (Shallow Water table INfiltration algorithm: SWINGO) based on a combination of approaches by Salvucci and Entekhabi (1995) and Chu (1997) with new integral formulae to calculate singular times (time of ponding, shift time, and time to soil profile saturation). …”
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Spatial and temporal variability of groundwater recharge in a sandstone aquifer in a semiarid region by F. Manna, S. Murray, D. Abbey, P. Martin, P. Martin, J. Cherry, B. Parker

“…However, one of the most unexpected results was that local recharge was simulated to vary from 0 to <span class="inline-formula">&gt;1000</span>&thinsp;mm&thinsp;yr<span class="inline-formula">⁻¹</span> due to episodic precipitation and overland runoff effects. …”
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Future snow changes and their impact on the upstream runoff in Salween by C. Chai, C. Chai, L. Wang, L. Wang, D. Chen, J. Zhou, H. Liu, H. Liu, J. Zhang, J. Zhang, Y. Wang, T. Chen, R. Liu, R. Liu

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Climate change in the High Mountain Asia in CMIP6 by M. Lalande, M. Ménégoz, G. Krinner, K. Naegeli, S. Wunderle

“…The HMA median warming simulated over 2081–2100 with respect to 1995–2014 ranges from 1.9 [1.2 to 2.7] <span class="inline-formula">^∘</span>C for SSP1-2.6 to 6.5 [4.9 to 9.0] <span class="inline-formula">^∘</span>C for SSP5-8.5. …”
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Evidence of a Diurnal Cycle in Precipitation over the Southern Ocean as Observed at Macquarie Island by Francisco Lang, Yi Huang, Steven T. Siems, Michael J. Manton

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A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach by D. Broullón, F. F. Pérez, A. Velo, M. Hoppema, A. Olsen, T. Takahashi, R. M. Key, T. Tanhua, J. M. Santana-Casiano, A. Kozyr

“…Furthermore, a computed climatology of partial pressure of <span class="inline-formula">CO₂</span> (<span class="inline-formula"><i>p</i></span><span class="inline-formula">CO₂</span>) from a previous climatology of total alkalinity and the present one of <span class="inline-formula">TCO₂</span> supports the robustness of this product through the good correlation with a widely used <span class="inline-formula"><i>p</i></span><span class="inline-formula">CO₂</span> climatology (Landschützer et al., 2017). …”
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Analysis of the relationship between precipitation changes and groundwater level in Marand plain with NRMC method by younes nikookhesal, Ali Akbar Rasouli, Davod Mokhtari, Khalil Valizadeh Kamran

“…This research was first calculated using precipitation data and water table of piezometric wells SPI and SWI values ​​and then NRMC values ​​for each index, respectively, in each method are briefly referred to:Calculate SPI and plot seasonal SPI variations of selected stationsThe standardized rainfall index was provided by McKay et al. (1993, 1995) to provide a warning and help assess drought severity and is calculated by the following formula:                  Relation 1:        SPI = (X_ij-X_im) / σIn the above relation, X_ij is the seasonal rainfall at rainfall station i, with j number of observations, X_im is the long-term average rainfall and σ is the standard deviation.Calculate SWI and plot the seasonal SWI of selected wells The standard water level index was presented in 2004 by Bui Yan et al. (2006) to monitor fluctuations in groundwater aquifers in the study of hydrological droughts, which is calculated by the following formula:Relation 2:             SWI = (W_ij-W_im) / σWhere W_ij is the seasonal average of the water table of observation wells i to j, W_im is the long-term seasonal average and σ is the standard deviation.Calculate the NRMC values ​​of each indicator and plot the normalized distribution curveIn this method, seasonal normalized distribution curves were adjusted for both SPI and SWI indices. …”
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Consistency and representativeness of integrated water vapour from ground-based GPS observations and ERA-Interim reanalysis by O. Bock, O. Bock, A. C. Parracho

“…A small (<span class="inline-formula">±1</span>&thinsp;kg&thinsp;m<span class="inline-formula">⁻²</span>) bias is found in the reanalysis across latitudes (moist in northern and southern midlatitudes and dry in the tropics). …”
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Geostrophic currents in the northern Nordic Seas from a combination of multi-mission satellite altimetry and ocean modeling by F. L. Müller, D. Dettmering, C. Wekerle, C. Schwatke, M. Passaro, W. Bosch, F. Seitz

“…Mean differences of <span class="inline-formula">0.004</span>&thinsp;m&thinsp;s<span class="inline-formula">⁻¹</span> in the zonal and <span class="inline-formula">0.02</span>&thinsp;m&thinsp;s<span class="inline-formula">⁻¹</span> in the meridional component are observed. …”
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