Spatial and temporal variability of the overall error of National Atmospheric Deposition Program measurements determined by the USGS collocated-sampler program, water years 1989–2001

Wetherbee, Gregory A.; Latysh, Natalie; Gordon, John

doi:10.1016/j.envpol.2004.11.014

Cited by 10 publications

(10 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S obs includes three components: the measurement error, the representation error, and the CTM error. Wetherbee et al [] give a relative measurement error of 16% for the NADP network, similar to the 15–25 % error for the EMEP network [ Hjellbrekke and Fjaeraa , ]. We use a measurement error of 16% for all networks and an absolute error of 0.03 mg N L −1 [ Wetherbee et al , ].…”

Section: Top‐down Emission Estimatesmentioning

confidence: 66%

“…Wetherbee et al [] give a relative measurement error of 16% for the NADP network, similar to the 15–25 % error for the EMEP network [ Hjellbrekke and Fjaeraa , ]. We use a measurement error of 16% for all networks and an absolute error of 0.03 mg N L −1 [ Wetherbee et al , ]. The representation error describes the inconsistency between the local nature of the measurement at a given site and the 2°×2.5° spatial average simulated by the model.…”

Section: Top‐down Emission Estimatesmentioning

confidence: 66%

See 1 more Smart Citation

Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

et al. 2014

View full text Add to dashboard Cite

We use the adjoint of a global 3-D chemical transport model (GEOS-Chem) to optimize ammonia (NH 3 ) emissions in the U.S., European Union, and China by inversion of 2005-2008 network data for NH + 4 wet deposition fluxes. Optimized emissions are derived on a 2 • × 2.5 • grid for individual months and years. Error characterization in the optimization includes model errors in precipitation. Annual optimized emissions are 2.8 Tg NH 3 −N a −1 for the contiguous U.S., 3.1 Tg NH 3 −N a −1 for the European Union, and 8.4 Tg NH 3 −N a −1 for China. Comparisons to previous inventories for the U.S. and European Union show consistency (∼±15%) in annual totals but some large spatial and seasonal differences. We develop a new global bottom-up inventory of NH 3 emissions (Magnitude And Seasonality of Agricultural Emissions model for NH3 (MASAGE_NH3)) to interpret the results of the adjoint optimization. MASAGE_NH3 provides information on the magnitude and seasonality of NH 3 emissions from individual crop and livestock sources on a 0.5 • × 0.5 • grid. We find that U.S. emissions peak in the spring in the Midwest due to corn fertilization and in the summer elsewhere due to manure. The seasonality of European emissions is more homogeneous with a well-defined maximum in spring associated with manure and mineral fertilizer application. There is some evidence for the effect of European regulations of NH 3 emissions, notably a large fall decrease in northern Europe. Emissions in China peak in summer because of the summertime application of fertilizer for double cropping.

show abstract

Section: Top‐down Emission Estimatesmentioning

confidence: 66%

Section: Top‐down Emission Estimatesmentioning

confidence: 66%

Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

et al. 2014

View full text Add to dashboard Cite

show abstract

“…The measurements of precipitation volume by samplers have non-negligible uncertainties (Wetherbee, 2017). The relative standard deviations (RSDs) of daily and annual precipitation depth measurements in MDN were estimated to be 15 % and 10 %, respectively (Wetherbee et al, 2005). The event-based sampling volume biases of two types of samplers used in APMMN were estimated to be up to 11 %-18 % (Sheu et al, 2019).…”

Section: Measurements Of Hg Wet Deposition Through Precipitationmentioning

confidence: 99%

Atmospheric mercury deposition over the land surfaces and the associated uncertainties in observations and simulations: a critical review

et al. 2019

View full text Add to dashboard Cite

Abstract. One of the most important processes in the global mercury (Hg) biogeochemical cycling is the deposition of atmospheric Hg, including gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM), and particulate-bound mercury (PBM), to the land surfaces. Results of wet, dry, and forest Hg deposition from global observation networks, individual monitoring studies, and observation-based simulations have been reviewed in this study. Uncertainties in the observation and simulation of global speciated atmospheric Hg deposition to the land surfaces have been systemically estimated based on assessment of commonly used observation methods, campaign results for comparison of different methods, model evaluation with observation data, and sensitivity analysis for model parameterization. The uncertainties of GOM and PBM dry deposition measurements come from the interference of unwanted Hg forms or incomplete capture of targeted Hg forms, while that of GEM dry deposition observation originates from the lack of a standardized experimental system and operating procedure. The large biases in the measurements of GOM and PBM concentrations and the high sensitivities of key parameters in resistance models lead to high uncertainties in GOM and PBM dry deposition simulation. Non-precipitation Hg wet deposition could play a crucial role in alpine and coastal regions, and its high uncertainties in both observation and simulation affect the overall uncertainties of Hg wet deposition. The overall uncertainties in the observation and simulation of the total global Hg deposition were estimated to be ± (25–50) % and ± (45–70) %, respectively, with the largest contributions from dry deposition. According to the results from uncertainty analysis, future research needs were recommended, among which a global Hg dry deposition network, unified methods for GOM and PBM dry deposition measurements, quantitative methods for GOM speciation, campaigns for comprehensive forest Hg behavior, and more efforts in long-term Hg deposition monitoring in Asia are the top priorities.

show abstract

“…The interquartile ranges of the adjacent-site annual concentration differences are small compared to the 95% confidence intervals for variability in weekly NADP/NTN measurements (Wetherbee et al 2005b), which are expected to increase for annual measurements. Therefore, while these small differences in concentrations with altitude are statistically significant, it was considered practical to multiply PRISM annual precipitation-depth grids by the spatially interpreted NADP/NTN annual mean concentration grids without adjustment of concentrations for altitude to produce representative annual deposition isopleth maps.…”

Section: Resultsmentioning

confidence: 98%

Improved mapping of National Atmospheric Deposition Program wet-deposition in complex terrain using PRISM-gridded data sets

Latysh

Wetherbee

2011

Environ Monit Assess

Self Cite

View full text Add to dashboard Cite

High-elevation regions in the United States lack detailed atmospheric wet-deposition data. The National Atmospheric Deposition Program/National Trends Network (NADP/NTN) measures and reports precipitation amounts and chemical constituent concentration and deposition data for the United States on annual isopleth maps using inverse distance weighted (IDW) interpolation methods. This interpolation for unsampled areas does not account for topographic influences. Therefore, NADP/NTN isopleth maps lack detail and potentially underestimate wet deposition in high-elevation regions. The NADP/NTN wet-deposition maps may be improved using precipitation grids generated by other networks. The Parameter-elevation Regressions on Independent Slopes Model (PRISM) produces digital grids of precipitation estimates from many precipitation-monitoring networks and incorporates influences of topographical and geographical features. Because NADP/NTN ion concentrations do not vary with elevation as much as precipitation depths, PRISM is used with unadjusted NADP/NTN data in this paper to calculate ion wet deposition in complex terrain to yield more accurate and detailed isopleth deposition maps in complex terrain. PRISM precipitation estimates generally exceed NADP/NTN precipitation estimates for coastal and mountainous regions in the western United States. NADP/NTN precipitation estimates generally exceed PRISM precipitation estimates for leeward mountainous regions in Washington, Oregon, and Nevada, where abrupt changes in precipitation depths induced by topography are not depicted by IDW interpolation. PRISM-based deposition estimates for nitrate can exceed NADP/NTN estimates by more than 100% for mountainous regions in the western United States.

show abstract

Spatial and temporal variability of the overall error of National Atmospheric Deposition Program measurements determined by the USGS collocated-sampler program, water years 1989–2001

Cited by 10 publications

References 3 publications

Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

Atmospheric mercury deposition over the land surfaces and the associated uncertainties in observations and simulations: a critical review

Improved mapping of National Atmospheric Deposition Program wet-deposition in complex terrain using PRISM-gridded data sets

Contact Info

Product

Resources

About