Quantifying errors in coral-based ENSO estimates: Toward improved forward modeling ofδ18O
نویسندگان
چکیده
منابع مشابه
Quantifying Persistence in ENSO
The seasonal dependence of predictability in ENSO manifests itself in the so-called spring barrier found in the cyclostationary lag autocorrelations, or persistence. This work examines the statistics of persistence, with particular focus on the phase-of-year-dependent pattern found in ENSO data, the barrier. Simple time series of one sine wave produce a barrier if the frequency is a biennial cy...
متن کاملQuantifying errors in trace species transport modeling.
One expectation when computationally solving an Earth system model is that a correct answer exists, that with adequate physical approximations and numerical methods our solutions will converge to that single answer. With such hubris, we performed a controlled numerical test of the atmospheric transport of CO(2) using 2 models known for accurate transport of trace species. Resulting differences ...
متن کاملProbability-based methods for quantifying nonlinearity in the ENSO
Robust statistical tools have been used to investigate non-normality and nonlinearity of the El Niño Southern Oscillation (ENSO) in observations and coupled model simulations. The analysis confirms previous suggestions that the observed Niño-3 sea surface temperature (SST) anomalies are positively skewed. The non-linearity is estimated using a simple nonlinear stochastic model, which relates th...
متن کاملBiases in atmospheric CO2 estimates from correlated meteorology modeling errors
Estimates of CO2 fluxes that are based on atmospheric measurements rely upon a meteorology model to simulate atmospheric transport. These models provide a quantitative link between the surface fluxes and CO2 measurements taken downwind. Errors in the meteorology can therefore cause errors in the estimated CO2 fluxes. Meteorology errors that correlate or covary across time and/or space are parti...
متن کاملGlobal tropospheric ozone modeling: Quantifying errors due to grid resolution
[1] Ozone production in global chemical models is dependent on model resolution because ozone chemistry is inherently nonlinear, the timescales for chemical production are short, and precursors are artificially distributed over the spatial scale of the model grid. In this study we examine the sensitivity of ozone, its precursors, and its production to resolution by running a global chemical tra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Paleoceanography
سال: 2013
ISSN: 0883-8305
DOI: 10.1002/palo.20059